03/29/2021
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The following topics will be covered in this lecture:
We have now learned about the fundamentals of theoretical probabilistic models.
Particularly, we have learned about the:
for discrete and continuous random variables.
We have also learned about several fundamental probability distributions:
We will begin to combine these models with data to produce statistical inference.
Our goal in this course is to use statistics from a small, representative sample to say something general about the larger, unobservable population or phenomena.
The process of saying something general from the smaller representative sample, while qualifying our uncertainty, is what we mean by statistical inference.
Classical statistics used technology like z-scores and z-score tables to simplify this complex analysis.
Z-scores, while fundamental to our understanding, are also just a piece of technology;
For most basic statistical analysis, any standard consumer laptop is sufficient;
At this point in the course, we will begin to emphasize more of the applied aspects of statistics, utilizing the R language.
This will build on the R language exercises seen in DataCamp, but will focus more on the mathematics and using R as a calculator, rather than doing formal programming.
Formal programming and numerical method development can be seen instead in, e.g., my STAT 445 / 645 Fall 2021.
In this lecture, we will review the theoretical ideas so-far encountered, but with R as a calculator.
Secondly, we will introduce concepts of descriptive statistics using R.
The R language has generic functions for the binomial distribution.
dbinom(x, size, prob)
is the probability mass function of the binomial; that is to say, x
being some number of successes, size=n
total trials and prob=p
, dbinom(x, size, prob)
is equal to\[ \begin{align} P(X=x) = \frac{n!}{(n-x)!x!} p^x q^{n-x} \end{align} \]
dbinom(0, size=2, prob=0.5)
[1] 0.25
dbinom(1, size=2, prob=0.5)
[1] 0.5
dbinom(2, size=2, prob=0.5)
[1] 0.25
pbinom(q, size, prob)
is the cumulative probability function of the binomial.
pbinom(x, size, prob)
is equal to\[ \begin{align} P(X\leq x) = \sum_{k=0}^xP(X=x) = \sum_{k=0}^x\frac{n!}{(n-k)!k!} p^x q^{n-k} \end{align} \]
pbinom(0, size=2, prob=0.5)
[1] 0.25
pbinom(1, size=2, prob=0.5)
[1] 0.75
pbinom(2, size=2, prob=0.5)
[1] 1
rbinom(n, size, prob)
randomly generates a sample of size n
from the binomial.n
total independent replications of a binomial experiment with a fixed probability of success p
;rbinom(n=10, size=2, prob=0.5)
replicates the 2 coin flips 10 times.rbinom(10, size=2, prob=0.5)
[1] 1 1 0 0 2 1 1 1 0 0
rbinom(10, size=2, prob=0.5)
[1] 1 1 0 1 2 2 1 0 2 1
set.seed(123)
rbinom(10, size=2, prob=0.5)
[1] 1 2 1 2 2 0 1 2 1 1
set.seed(123)
rbinom(10, size=2, prob=0.5)
[1] 1 2 1 2 2 0 1 2 1 1
par(cex = 2.0, mar = c(5, 4, 4, 2) + 0.3)
f = dbinom(x=-1:11, size=10, prob=0.2)
plot(x=-1:11, f, type = "s", main = "n=10 p=0.2", xlab = "x", ylab = "Prob.", xlim=c(0,10))
par(cex = 2.0, mar = c(5, 4, 4, 2) + 0.3)
f = dbinom(x=-1:11, size=10, prob=0.5)
plot(x=-1:11, f, type = "s", main = "n=10 p=0.5", xlab = "x", ylab = "Prob.", xlim=c(0,10))
We note that the earlier pictures plotted the theoretical values of the probability mass function.
This differs from plotting the observational data from an experiment.
Let's suppose we draw a random sample, of size 10
,
i.e., we have replicated a binomial experiment 10 times and recorded the results.
sample_10 = rbinom(10, size=10, prob=0.6)
sample_10
[1] 3 6 5 6 8 4 7 9 7 3
Let's suppose instead we draw a random sample, of size 100000
,
i.e., we have replicated a binomial experiment one-hundred-thousand times and recorded the results.
sample_100000 = rbinom(100000, size=10, prob=0.6)
sample_100000
[1] 4 5 5 2 5 5 6 6 7 8 3 4 5 5 9 6 5 7 7 7 8 6 6 7
[25] 8 8 7 6 7 4 9 6 5 8 6 7 8 5 4 7 5 8 6 7 5 6 5 5
[49] 5 6 5 6 5 10 6 7 7 6 7 8 7 5 6 5 8 6 3 4 4 7 8 5
[73] 7 5 7 7 5 8 6 6 6 7 6 3 6 4 4 6 6 8 4 7 8 3 5 8
[97] 6 3 6 6 5 7 7 7 7 3 8 8 8 5 6 4 5 5 6 5 5 5 3 6
[121] 7 6 9 7 4 7 7 8 7 5 4 6 6 7 8 6 6 7 6 7 6 7 5 7
[145] 7 6 5 7 6 7 6 7 4 5 5 6 7 6 4 6 4 7 5 7 6 6 7 6
[169] 4 4 7 7 3 6 4 6 6 5 8 6 7 3 6 6 6 4 7 7 7 7 6 7
[193] 7 5 8 5 7 6 5 4 7 3 5 5 8 6 6 6 5 4 6 6 6 8 7 6
[217] 7 5 8 5 6 5 7 6 7 5 6 3 3 5 7 7 6 7 6 5 7 6 6 4
[241] 4 4 5 3 6 6 7 7 9 6 4 9 8 8 5 5 3 6 8 5 5 8 6 7
[265] 8 6 8 7 8 5 7 8 8 4 5 5 3 8 8 5 5 9 5 5 6 6 8 9
[289] 6 6 6 6 5 8 7 5 4 7 7 4 4 7 8 5 8 9 1 9 7 4 6 7
[313] 5 4 7 6 5 5 5 3 6 8 6 7 6 7 3 6 7 6 8 3 6 8 6 3
[337] 5 6 7 4 8 7 4 7 7 5 7 9 6 6 6 7 4 6 6 3 5 7 7 3
[361] 6 5 7 5 6 4 7 7 8 7 3 7 5 5 8 7 7 8 8 2 3 8 4 6
[385] 6 6 5 8 7 5 7 5 7 6 7 7 3 7 6 9 6 5 6 7 4 6 7 6
[409] 8 4 3 6 7 2 7 6 8 6 8 8 7 6 5 8 4 5 5 8 7 5 6 7
[433] 7 8 7 4 5 5 8 8 3 6 6 8 6 7 7 5 7 5 8 5 6 5 5 6
[457] 6 10 7 5 7 5 7 5 4 8 8 5 6 4 3 8 6 5 8 2 7 8 5 5
[481] 7 7 7 8 7 7 6 6 4 7 6 8 4 6 5 7 6 5 8 5 7 7 7 9
[505] 6 5 4 9 2 7 4 5 6 5 9 5 7 5 6 7 5 8 5 7 5 3 8 4
[529] 5 6 7 7 6 4 6 6 5 6 6 9 8 4 5 7 5 5 6 5 6 4 6 4
[553] 6 6 3 5 6 9 6 6 4 5 4 7 4 8 7 5 3 6 6 8 3 8 8 4
[577] 6 7 4 9 7 5 7 7 7 5 8 5 7 7 6 8 9 2 6 5 4 5 3 9
[601] 4 4 5 7 9 7 7 4 7 7 5 4 6 5 8 7 3 5 5 6 6 5 4 6
[625] 8 6 5 8 7 6 5 4 6 6 5 4 4 8 6 7 4 5 8 5 7 8 4 8
[649] 5 7 9 6 8 7 6 6 5 7 6 6 5 5 5 4 3 6 6 7 6 7 9 5
[673] 6 8 7 6 8 8 6 7 4 7 9 4 7 6 6 7 7 6 6 6 5 5 6 6
[697] 9 10 2 8 6 5 5 4 6 5 4 6 5 9 6 4 5 4 7 7 5 2 7 10
[721] 2 8 8 6 7 6 5 8 5 3 7 7 8 8 6 6 6 4 9 7 6 7 6 6
[745] 6 8 8 6 5 5 4 5 5 5 8 7 7 6 5 5 7 5 9 5 5 6 7 9
[769] 7 4 4 6 7 6 5 6 8 7 7 7 6 7 8 8 7 3 6 6 5 5 8 5
[793] 7 4 5 8 7 8 6 6 5 7 6 2 5 8 6 8 7 5 10 5 6 5 5 6
[817] 5 5 7 8 3 5 6 8 6 7 4 9 7 8 7 5 2 5 6 6 3 8 8 4
[841] 6 9 5 6 6 7 8 8 6 6 8 7 5 6 4 5 9 5 4 6 8 4 5 8
[865] 5 4 6 7 7 7 6 5 5 6 5 5 9 7 8 5 4 6 4 6 5 6 5 4
[889] 5 8 10 8 4 6 7 3 6 6 6 7 5 9 7 4 5 5 7 6 8 5 4 7
[913] 5 6 3 8 6 4 4 9 3 6 6 6 8 8 6 7 6 7 6 8 3 9 7 3
[937] 5 8 6 6 6 6 6 8 4 6 6 8 5 6 5 9 5 7 7 5 3 9 7 6
[961] 6 5 4 6 4 5 8 8 7 6 8 7 6 6 6 5 5 6 5 8 7 6 8 4
[985] 4 6 5 7 8 6 6 7 7 6 9 5 6 5 6 7 6 5 6 6 5 7 6 6
[1009] 7 6 7 6 6 8 6 6 8 6 6 6 5 5 6 6 7 8 6 9 4 2 5 5
[1033] 4 6 6 7 5 7 7 5 5 7 7 7 8 5 6 8 3 6 5 4 4 5 5 6
[1057] 7 9 6 7 6 7 7 6 5 7 8 9 5 6 5 8 8 8 5 5 2 6 7 7
[1081] 5 5 7 5 4 6 6 4 3 5 8 5 6 6 7 7 6 4 7 6 7 7 5 7
[1105] 8 8 4 6 8 6 6 5 5 6 5 5 7 7 6 7 5 6 8 3 7 6 6 6
[1129] 7 8 4 6 5 4 6 7 8 4 6 7 7 7 6 7 8 8 5 7 8 3 6 6
[1153] 5 4 7 6 5 6 8 5 10 7 5 4 5 8 6 5 5 6 8 6 6 5 9 7
[1177] 4 8 3 6 4 4 6 5 6 2 8 8 5 6 6 1 7 6 8 5 7 5 7 3
[1201] 7 6 8 4 3 9 6 7 4 6 10 7 7 6 7 9 8 5 4 7 8 7 6 6
[1225] 5 7 6 9 7 5 5 6 6 10 8 4 8 7 3 6 7 6 9 8 5 8 6 4
[1249] 8 3 9 5 6 6 4 6 5 6 7 6 7 4 6 5 6 7 5 6 7 6 5 6
[1273] 7 4 7 7 5 5 4 6 9 6 6 4 5 6 8 8 5 8 7 7 4 7 5 8
[1297] 5 7 6 9 5 7 4 7 3 6 6 6 9 5 6 7 6 6 6 7 5 5 4 6
[1321] 7 6 6 7 5 3 7 5 6 6 9 10 8 9 8 6 7 5 7 6 5 8 4 6
[1345] 7 7 8 6 8 7 7 7 6 6 5 5 7 3 9 6 6 7 4 8 4 7 7 4
[1369] 8 7 2 5 6 7 6 5 5 6 8 7 7 7 8 6 7 5 6 3 8 3 5 4
[1393] 6 8 7 5 6 7 5 7 4 6 6 4 6 8 6 3 4 6 4 7 5 5 6 7
[1417] 5 4 5 6 8 6 9 6 5 5 8 6 6 7 6 5 5 8 6 5 7 5 4 8
[1441] 3 5 5 7 9 4 4 8 6 6 5 8 5 6 6 5 6 1 4 5 5 8 4 5
[1465] 2 8 5 6 6 5 9 9 2 5 7 5 2 7 5 6 4 2 6 7 5 6 6 6
[1489] 6 6 6 3 4 7 6 6 9 7 6 7 5 9 5 6 5 9 9 6 5 7 5 5
[1513] 4 6 6 7 7 7 4 6 8 5 7 6 5 7 8 6 6 3 3 8 6 6 6 7
[1537] 5 7 6 2 5 7 5 7 6 8 8 4 8 4 7 9 5 7 9 5 9 6 7 6
[1561] 5 8 7 8 5 6 6 6 6 7 5 4 5 6 7 8 6 7 5 7 5 8 7 5
[1585] 5 9 4 8 6 6 6 5 6 2 3 6 6 7 6 7 9 9 8 5 6 4 6 7
[1609] 6 4 5 6 6 5 4 4 7 7 8 5 8 5 5 4 6 4 5 4 6 8 7 5
[1633] 7 6 9 6 8 4 8 5 4 9 7 5 5 6 4 6 6 7 6 6 9 5 7 5
[1657] 6 5 6 7 7 6 2 7 7 9 6 6 5 3 6 8 7 4 4 4 3 5 6 7
[1681] 5 8 6 4 4 5 8 6 2 6 7 8 8 4 7 3 6 6 3 8 5 7 6 7
[1705] 8 5 7 5 6 7 2 6 9 4 4 6 7 5 3 4 8 3 6 10 8 10 5 5
[1729] 4 7 3 5 5 6 3 6 4 6 6 4 5 9 8 6 6 2 4 7 5 4 5 5
[1753] 8 6 7 6 7 7 5 6 8 7 5 6 8 8 3 7 5 4 7 9 6 4 7 7
[1777] 5 3 6 6 8 4 7 5 6 8 3 6 4 6 7 6 5 5 6 6 6 6 6 10
[1801] 2 6 8 4 6 4 9 4 5 5 4 6 4 7 9 7 5 7 4 5 7 6 6 5
[1825] 6 9 5 7 5 7 4 4 6 8 6 6 2 7 5 4 6 5 8 4 6 7 6 4
[1849] 6 5 7 5 7 7 7 4 6 8 4 7 4 8 7 7 9 5 7 6 7 6 6 2
[1873] 7 5 3 6 6 5 8 6 6 7 8 4 6 6 6 5 5 6 8 6 6 6 6 8
[1897] 8 5 5 8 5 6 2 6 6 7 6 8 6 3 6 6 9 9 8 8 6 5 7 5
[1921] 6 7 9 5 8 4 8 5 4 7 8 5 7 7 6 6 7 5 6 8 2 7 8 7
[1945] 7 7 7 9 4 6 7 4 6 6 5 5 8 7 3 7 5 6 8 7 5 8 6 6
[1969] 6 7 6 8 4 8 8 4 7 5 6 6 8 8 8 6 6 6 6 8 10 7 4 7
[1993] 6 6 2 7 5 7 7 10 2 6 2 7 8 7 5 6 6 5 6 6 6 7 8 5
[2017] 6 3 3 5 6 7 6 5 4 4 5 7 8 6 6 8 3 8 4 8 5 5 5 5
[2041] 8 4 6 4 7 9 7 7 5 4 8 4 6 6 5 5 6 6 3 8 8 5 5 8
[2065] 6 5 6 2 5 7 8 7 8 9 7 5 3 6 6 8 6 7 6 3 5 5 7 7
[2089] 4 4 5 7 7 6 6 7 5 9 5 4 4 5 7 7 4 9 4 6 6 4 8 7
[2113] 8 8 5 6 6 5 3 6 5 7 7 8 8 8 7 6 5 5 7 3 5 8 7 7
[2137] 6 5 7 6 3 8 6 5 6 2 9 2 5 6 8 6 7 6 5 8 7 4 9 5
[2161] 3 5 9 6 5 9 4 5 7 5 5 7 5 4 4 5 5 6 6 8 5 5 5 9
[2185] 7 6 8 5 6 7 6 5 8 8 6 8 8 5 6 7 7 6 5 8 2 9 7 7
[2209] 4 7 5 4 6 5 7 6 4 7 9 3 7 5 8 3 4 4 6 5 7 7 1 3
[2233] 6 5 7 7 6 7 8 3 5 4 6 8 5 9 8 4 8 7 7 7 7 9 4 3
[2257] 4 6 6 8 7 4 7 6 6 7 6 8 6 6 7 4 7 6 4 7 7 4 6 4
[2281] 6 4 7 6 5 7 6 5 4 7 6 10 7 5 6 5 8 5 7 6 5 6 7 5
[2305] 6 7 6 8 7 6 9 7 5 5 5 8 8 3 4 4 5 8 4 4 7 8 6 7
[2329] 6 6 5 5 7 5 6 8 9 7 7 6 6 5 7 4 6 7 7 5 5 6 4 6
[2353] 7 6 7 7 4 6 9 4 7 9 3 7 3 8 6 5 7 5 6 9 7 6 4 2
[2377] 7 6 5 4 5 6 7 4 5 7 7 5 5 6 4 5 8 9 4 8 7 6 6 7
[2401] 6 5 7 7 6 6 8 4 6 5 5 6 9 5 8 6 8 5 8 5 5 7 8 8
[2425] 9 5 7 8 7 6 5 7 8 5 4 2 5 7 5 6 7 6 3 7 6 7 9 8
[2449] 6 8 9 7 7 6 7 6 5 7 4 7 7 7 5 7 4 8 7 6 7 5 5 7
[2473] 6 4 5 4 4 7 5 8 4 5 5 7 5 6 5 5 4 6 8 7 8 7 5 6
[2497] 6 5 6 7 5 5 5 7 6 3 7 8 6 3 4 6 5 6 4 8 6 5 4 4
[2521] 5 8 5 5 5 4 6 3 6 7 6 8 6 6 5 6 6 7 6 7 7 4 6 6
[2545] 6 5 9 7 8 5 6 6 6 6 8 9 9 8 7 5 5 8 3 8 6 6 4 5
[2569] 6 6 6 5 6 8 7 4 6 5 5 7 7 6 7 4 8 8 5 7 5 6 5 7
[2593] 8 6 6 5 7 6 6 4 4 8 7 5 5 6 7 8 7 9 5 5 7 6 9 8
[2617] 4 6 5 6 7 4 9 7 3 5 1 7 6 8 5 4 4 9 7 6 7 5 9 5
[2641] 7 7 5 7 6 5 6 6 6 8 9 8 5 8 8 9 6 4 7 6 6 7 4 4
[2665] 7 5 7 4 8 2 7 7 8 6 5 2 7 5 6 3 6 5 8 6 7 4 5 4
[2689] 5 6 3 6 6 7 8 4 7 7 5 6 3 8 6 4 4 4 5 8 8 8 6 5
[2713] 4 6 5 6 5 5 5 4 7 7 8 9 4 5 8 8 7 6 5 8 8 6 7 6
[2737] 8 4 5 6 5 7 5 7 5 6 5 7 5 6 9 7 6 6 6 4 5 8 8 7
[2761] 7 5 8 3 4 6 4 9 5 4 8 6 5 6 4 6 6 5 7 4 8 6 7 8
[2785] 5 6 7 4 6 3 4 6 5 5 4 8 9 2 6 5 6 6 5 4 8 7 5 7
[2809] 6 7 6 6 5 5 6 7 5 6 5 4 6 6 4 5 6 5 5 7 7 7 4 7
[2833] 6 9 5 6 6 4 6 5 5 7 8 7 5 5 5 4 10 7 5 8 9 8 5 4
[2857] 7 7 7 3 6 5 4 6 7 4 5 9 5 4 8 3 9 7 9 6 5 5 6 8
[2881] 3 6 5 7 5 6 4 6 7 5 5 6 5 7 4 6 5 5 5 5 7 6 5 7
[2905] 5 8 5 4 5 5 6 8 6 8 5 7 6 6 7 6 6 4 8 8 8 4 6 5
[2929] 9 6 9 6 4 7 7 4 9 5 6 8 4 7 5 6 5 7 4 8 7 7 5 6
[2953] 7 8 6 6 3 8 4 9 5 7 8 7 7 4 2 7 8 5 6 7 5 7 4 8
[2977] 4 8 6 5 7 4 7 6 7 5 5 6 4 5 3 5 5 9 7 9 4 6 5 8
[3001] 6 5 8 7 5 4 4 3 6 3 5 6 6 7 5 6 6 8 7 4 6 9 6 8
[3025] 7 5 7 5 6 5 6 7 4 8 8 4 6 5 5 3 3 8 5 9 6 5 7 3
[3049] 5 6 4 5 6 7 6 4 6 5 5 5 4 8 6 7 6 7 4 6 6 8 4 5
[3073] 6 7 5 6 8 8 6 7 6 3 7 5 8 6 5 8 5 7 8 8 5 5 8 3
[3097] 8 4 5 6 7 7 4 4 6 4 5 6 7 3 8 5 5 7 6 8 6 7 6 5
[3121] 4 7 7 7 7 8 7 4 8 6 5 4 6 7 6 8 6 8 7 5 7 6 5 7
[3145] 8 5 5 6 7 7 6 9 7 5 7 9 3 8 5 4 9 4 6 7 7 5 8 7
[3169] 6 5 6 5 7 4 3 5 9 6 5 7 6 6 5 7 7 6 7 6 9 6 6 9
[3193] 2 6 4 6 3 7 5 9 4 8 5 6 5 5 7 5 7 6 8 7 6 6 5 6
[3217] 4 6 6 6 7 6 1 4 5 4 4 6 7 5 6 10 5 6 3 8 7 4 5 6
[3241] 9 7 7 5 8 3 4 7 6 7 7 7 4 7 4 5 7 7 5 6 8 8 7 6
[3265] 3 6 4 8 4 7 7 8 9 8 8 7 5 9 6 4 9 7 6 6 4 6 5 6
[3289] 7 6 8 5 7 4 6 7 5 8 9 6 4 6 6 7 5 6 8 5 7 6 7 8
[3313] 4 6 4 8 5 6 3 6 7 4 4 6 6 5 7 5 5 6 4 8 5 6 7 6
[3337] 7 5 4 6 5 6 5 4 7 6 4 6 7 5 5 5 7 3 9 4 8 4 6 6
[3361] 5 7 9 8 8 7 3 7 7 5 5 7 7 6 6 4 6 6 6 6 6 7 7 7
[3385] 10 7 3 6 3 7 8 6 6 4 4 6 4 7 4 8 8 6 2 6 8 7 5 5
[3409] 6 5 7 6 7 6 8 7 3 2 6 9 6 5 6 6 7 8 8 7 6 7 9 7
[3433] 8 7 8 7 8 6 6 8 4 6 8 7 5 4 5 6 8 8 6 6 5 5 6 6
[3457] 6 7 6 3 6 6 7 6 6 7 3 4 5 5 7 8 8 4 7 5 4 5 6 8
[3481] 7 6 5 7 6 6 8 9 5 4 4 8 5 6 6 8 7 7 5 7 8 6 8 6
[3505] 6 6 6 5 2 4 8 4 6 5 5 6 4 7 6 8 7 4 6 6 3 3 5 5
[3529] 9 5 4 6 5 5 6 4 6 9 6 6 6 6 7 5 6 3 7 3 6 5 4 5
[3553] 5 2 4 5 8 8 6 7 5 6 8 4 4 7 8 5 6 8 6 6 6 6 6 4
[3577] 5 3 8 6 8 6 7 6 6 5 4 6 4 7 6 6 5 7 6 7 6 6 8 5
[3601] 6 5 7 7 6 3 7 7 7 6 6 7 7 5 4 6 6 6 5 5 8 8 4 6
[3625] 6 3 7 7 6 4 5 8 8 5 3 6 6 5 4 6 6 5 7 4 9 7 8 7
[3649] 6 5 5 6 9 4 4 6 4 6 8 8 5 4 8 4 6 8 5 3 5 7 7 7
[3673] 7 7 8 8 6 5 8 8 10 8 4 8 2 5 7 7 5 6 6 7 4 5 5 7
[3697] 6 3 9 6 4 7 7 4 8 6 6 8 6 7 4 5 8 8 7 4 4 7 4 8
[3721] 4 8 3 8 6 5 7 9 5 7 4 6 2 8 9 6 6 10 5 8 6 4 8 3
[3745] 5 4 7 2 5 7 5 3 4 8 8 5 4 9 7 5 8 9 4 8 4 8 6 7
[3769] 5 6 7 6 6 4 6 4 6 5 5 7 4 6 7 6 6 4 3 6 7 7 10 5
[3793] 5 9 7 6 8 7 4 7 2 5 8 6 4 5 6 6 6 7 4 8 6 6 7 3
[3817] 7 9 5 6 9 7 4 7 8 5 6 6 6 4 4 7 6 9 6 8 5 8 7 5
[3841] 6 6 4 5 5 6 8 5 5 4 8 5 7 7 4 7 9 5 9 5 4 8 7 5
[3865] 4 7 6 6 5 7 5 7 7 10 7 6 7 7 2 7 6 8 5 6 7 6 6 5
[3889] 4 5 7 5 6 9 5 6 7 9 3 2 8 6 3 8 7 6 4 6 9 4 5 4
[3913] 5 10 8 4 7 9 6 5 4 8 7 6 6 6 4 3 8 7 5 2 5 8 8 7
[3937] 7 7 5 7 6 5 4 5 7 9 9 7 4 9 7 4 6 5 3 5 6 3 4 6
[3961] 8 6 5 8 6 3 7 6 8 7 6 7 6 3 6 8 5 5 7 6 7 5 6 5
[3985] 7 8 4 9 6 3 7 3 9 7 7 3 3 5 7 6 7 5 5 6 5 5 5 6
[4009] 6 5 4 6 8 6 6 4 7 5 5 5 6 6 4 6 3 8 6 7 7 4 7 6
[4033] 6 7 6 5 3 8 8 6 8 7 7 7 5 5 5 7 7 6 6 6 6 8 4 2
[4057] 4 4 7 6 6 9 5 4 8 4 7 5 5 5 7 7 6 8 6 6 7 3 8 6
[4081] 6 8 7 1 5 7 4 5 6 5 5 7 6 6 5 7 6 6 6 4 4 5 8 7
[4105] 4 4 5 5 6 9 7 6 6 4 5 10 9 7 7 5 5 5 6 7 7 5 7 7
[4129] 6 8 8 9 5 5 9 6 7 6 7 3 8 8 8 7 6 7 6 6 7 3 9 4
[4153] 8 7 6 5 7 8 7 7 4 5 6 4 8 7 7 9 6 5 7 5 7 5 6 8
[4177] 5 4 6 6 6 8 5 6 5 6 6 4 5 8 8 5 6 6 7 6 6 7 5 7
[4201] 6 6 7 7 7 6 6 6 4 7 7 6 7 4 6 6 7 9 6 7 6 5 7 8
[4225] 5 7 5 9 4 5 4 7 7 4 7 4 6 6 5 6 7 6 7 5 7 4 4 6
[4249] 9 4 6 5 6 6 8 8 5 7 9 8 5 5 8 5 9 6 7 6 6 6 7 7
[4273] 7 7 6 9 8 6 6 6 5 0 3 3 5 5 3 7 5 8 6 5 9 8 8 5
[4297] 7 6 5 7 7 7 5 6 8 7 6 6 6 7 7 4 6 6 7 6 5 7 6 7
[4321] 6 4 9 6 7 6 8 5 8 7 7 6 6 2 6 7 4 7 5 4 4 8 7 6
[4345] 7 4 4 5 6 5 8 7 7 5 4 5 7 9 6 5 6 7 7 7 7 6 5 6
[4369] 6 5 4 3 6 5 7 8 6 5 5 6 2 2 7 7 7 6 5 5 4 5 7 7
[4393] 5 7 7 4 7 8 5 6 6 5 5 5 7 3 3 9 5 7 7 9 5 8 8 5
[4417] 6 9 4 5 6 8 5 5 6 7 9 7 7 6 6 7 4 5 7 5 6 6 7 9
[4441] 8 6 7 9 4 4 5 6 5 5 4 5 7 6 5 6 6 7 8 7 7 7 6 4
[4465] 6 7 7 6 8 5 9 9 5 7 6 8 5 6 8 6 8 6 6 6 8 7 9 7
[4489] 5 5 5 8 8 5 6 7 8 8 6 6 6 4 7 5 7 8 8 4 5 6 5 5
[4513] 5 4 7 6 9 8 5 5 6 7 6 9 4 5 7 6 4 7 7 5 7 8 6 7
[4537] 5 6 6 8 7 6 6 8 10 4 7 3 5 4 6 4 5 7 5 4 5 5 5 8
[4561] 9 7 6 3 3 5 7 6 5 4 6 8 5 4 6 7 7 9 6 6 6 4 6 7
[4585] 6 8 5 5 7 7 4 7 3 5 4 5 7 7 9 4 6 7 5 5 5 6 8 4
[4609] 8 5 6 6 5 6 5 4 5 6 8 5 8 8 9 5 5 7 5 5 6 3 8 8
[4633] 4 4 7 6 3 8 5 6 4 5 6 8 6 6 8 5 7 5 6 6 6 8 6 8
[4657] 6 5 6 7 7 9 7 5 8 3 5 4 6 7 6 8 7 7 6 5 8 6 8 6
[4681] 9 5 4 7 6 6 8 5 4 3 5 10 5 7 6 10 7 7 6 5 5 7 5 7
[4705] 4 5 7 7 8 4 6 4 1 6 7 5 4 3 6 5 7 6 7 5 6 5 3 8
[4729] 6 5 5 4 5 4 3 6 5 6 8 6 8 6 8 5 10 8 4 3 7 5 5 6
[4753] 4 5 7 8 6 6 5 5 6 6 7 6 5 7 5 5 6 7 8 6 5 6 4 9
[4777] 4 6 5 6 7 6 7 8 7 7 7 9 5 6 6 8 9 7 9 4 6 5 6 8
[4801] 9 6 7 5 6 6 4 8 9 6 8 7 8 8 6 8 6 5 7 5 8 6 7 7
[4825] 7 6 6 5 3 6 7 5 6 8 7 8 8 5 5 6 8 4 2 9 6 5 6 7
[4849] 6 7 3 5 5 9 6 6 8 7 8 6 7 6 4 6 6 7 7 8 5 3 4 7
[4873] 7 7 7 6 5 8 6 8 5 3 3 4 6 7 6 4 5 6 6 5 5 6 6 6
[4897] 5 5 8 6 6 8 7 7 8 4 7 8 5 5 6 6 5 4 5 6 5 7 7 6
[4921] 8 10 6 8 4 6 6 6 8 5 5 8 6 5 7 5 6 7 4 9 4 5 7 6
[4945] 6 6 8 7 7 8 3 7 4 5 6 5 7 5 8 7 3 9 6 5 7 6 4 6
[4969] 8 7 5 9 4 5 6 8 4 7 5 9 7 2 5 5 7 8 7 6 5 7 7 3
[4993] 6 3 4 3 8 7 4 5 3 3 5 6 5 7 7 4 5 5 7 5 6 7 7 4
[5017] 5 9 5 4 4 8 3 4 7 4 5 6 8 4 7 7 5 2 7 8 5 4 7 6
[5041] 7 5 6 7 7 5 9 6 6 6 5 6 6 4 7 9 5 5 4 8 9 6 4 6
[5065] 9 6 7 6 8 6 7 6 4 6 5 8 5 5 9 9 6 5 5 7 5 6 8 6
[5089] 5 5 8 8 3 8 7 6 5 4 6 6 8 4 4 7 6 6 5 4 6 5 5 7
[5113] 6 7 4 5 7 2 5 7 5 7 5 7 7 8 6 10 7 7 5 8 7 6 3 7
[5137] 5 8 6 6 4 7 6 6 5 8 5 5 5 6 7 7 8 7 9 6 7 7 5 7
[5161] 6 5 8 8 3 3 5 9 3 5 4 7 7 6 7 5 8 4 5 4 3 7 7 8
[5185] 8 6 5 4 8 5 3 7 5 6 9 6 5 5 6 4 9 6 6 5 7 6 7 5
[5209] 6 7 5 6 3 7 10 7 5 6 7 8 4 8 5 6 4 6 8 6 5 6 6 6
[5233] 4 7 6 5 4 6 7 6 7 8 6 9 8 7 7 7 4 7 3 6 4 7 7 8
[5257] 6 7 6 7 8 7 6 5 7 6 8 7 5 6 7 5 6 7 8 3 6 6 5 5
[5281] 5 4 8 7 4 7 4 7 5 6 6 6 6 6 6 7 5 5 6 7 5 4 7 6
[5305] 4 6 6 6 9 6 6 6 5 5 4 5 6 7 9 8 6 6 8 7 8 7 8 6
[5329] 7 8 4 7 7 7 7 5 6 8 5 4 7 5 7 5 7 5 8 4 5 4 9 9
[5353] 7 7 8 5 9 5 6 5 4 6 3 7 7 3 7 5 7 5 5 7 10 6 6 6
[5377] 7 6 7 7 9 6 6 3 8 5 6 10 7 5 6 4 5 6 7 6 8 7 7 3
[5401] 7 5 8 7 7 4 6 7 6 8 6 5 4 6 6 5 4 2 7 7 4 7 5 4
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[96097] 8 7 7 5 5 9 5 4 6 9 9 8 5 6 7 5 5 7 5 3 6 7 8 7
[96121] 5 5 7 7 4 6 4 5 8 7 7 8 7 4 6 3 7 7 6 6 7 4 5 6
[96145] 7 8 6 6 10 7 6 4 5 5 5 5 5 5 5 7 8 6 8 9 6 7 3 6
[96169] 3 6 6 5 6 7 8 5 7 6 5 9 6 6 7 5 5 6 5 8 6 6 6 7
[96193] 6 6 7 6 7 6 4 8 5 8 7 5 5 6 5 6 5 3 9 8 6 6 5 5
[96217] 9 5 8 6 6 5 4 6 8 8 4 3 7 5 5 7 6 6 5 8 6 6 6 9
[96241] 4 9 5 5 6 4 6 9 6 7 7 2 6 5 5 5 4 9 6 5 8 6 4 4
[96265] 7 5 6 4 7 9 8 6 5 5 6 4 7 7 5 5 4 6 6 6 8 8 7 4
[96289] 7 6 8 4 5 4 6 4 6 6 9 6 4 5 5 4 5 6 6 7 6 6 8 6
[96313] 6 4 8 4 6 5 6 6 4 6 7 6 5 7 4 7 6 9 7 4 8 4 3 7
[96337] 7 7 5 8 8 5 6 7 6 5 7 4 3 7 6 5 5 6 7 6 7 5 6 7
[96361] 7 7 5 8 4 6 8 5 8 6 4 8 7 6 6 5 8 5 6 7 5 6 3 7
[96385] 5 6 7 8 9 6 6 4 3 6 7 6 6 3 6 8 7 8 9 7 5 6 6 5
[96409] 7 5 7 5 5 6 6 4 6 4 5 6 4 5 7 3 5 5 5 5 8 5 7 7
[96433] 6 4 6 9 7 6 6 7 8 5 8 7 6 6 5 4 8 7 5 7 6 5 6 7
[96457] 4 5 8 5 4 5 8 4 6 7 7 6 5 7 6 7 3 6 4 6 8 6 5 7
[96481] 5 8 4 6 8 3 6 7 8 5 5 5 5 5 6 9 7 6 5 5 8 8 5 6
[96505] 5 5 8 8 5 7 5 3 6 5 9 5 6 6 6 5 5 8 6 4 3 5 4 8
[96529] 6 6 6 5 6 6 5 8 7 6 7 3 2 6 6 7 6 5 5 7 3 5 7 6
[96553] 5 8 5 5 8 6 7 6 6 8 6 7 7 5 5 6 7 6 7 6 6 5 7 6
[96577] 7 4 7 8 7 7 7 6 7 3 5 6 7 6 7 8 5 7 5 9 5 7 4 4
[96601] 6 6 6 5 9 8 7 5 7 7 6 8 4 5 5 5 7 3 7 5 8 5 3 6
[96625] 6 5 3 4 6 7 7 6 9 4 6 6 6 5 6 7 6 6 7 8 8 6 5 10
[96649] 3 5 6 7 9 5 7 6 6 8 7 6 7 6 5 7 5 5 5 5 8 7 7 8
[96673] 5 7 8 5 6 3 6 7 4 4 5 7 6 5 7 4 7 5 7 4 6 5 7 6
[96697] 6 6 5 6 7 10 6 9 6 6 7 8 6 7 7 5 7 5 5 6 6 5 7 7
[96721] 5 4 6 6 7 7 7 6 4 5 6 7 5 8 6 4 8 6 5 9 7 8 8 7
[96745] 4 6 5 5 5 8 2 7 6 4 9 5 7 7 5 6 6 6 10 6 4 5 6 5
[96769] 8 7 6 7 7 9 7 5 5 4 6 8 8 3 7 6 7 3 6 6 6 4 8 6
[96793] 8 6 7 7 6 7 3 7 4 7 4 8 6 7 7 7 6 7 7 4 6 2 7 8
[96817] 4 3 7 6 5 6 7 7 2 6 6 6 6 7 7 6 6 6 6 5 7 4 4 6
[96841] 9 8 6 6 6 7 6 5 5 5 4 6 4 6 5 8 5 5 7 8 5 9 5 3
[96865] 9 4 7 4 7 3 6 7 8 6 7 6 5 4 6 4 6 6 7 8 4 6 4 9
[96889] 5 7 5 6 6 6 5 5 6 7 8 4 7 6 5 5 7 7 5 7 4 7 6 4
[96913] 6 6 4 3 8 8 7 8 5 7 8 6 4 6 5 6 3 6 6 5 8 4 5 6
[96937] 6 3 7 5 5 6 5 7 8 4 5 8 6 3 6 8 5 6 4 5 5 7 5 8
[96961] 6 7 8 4 6 8 5 4 4 8 4 6 7 8 6 6 5 6 7 5 8 7 5 7
[96985] 5 9 3 8 6 8 5 4 7 7 9 5 4 7 9 5 6 6 5 8 9 6 7 5
[97009] 6 6 5 4 7 8 7 5 5 4 5 5 7 6 7 6 5 4 5 6 3 6 7 7
[97033] 4 6 8 8 9 8 3 4 6 5 5 5 7 6 8 7 6 6 6 7 9 8 5 8
[97057] 7 6 5 6 6 6 7 7 6 8 5 7 6 3 4 3 6 4 6 7 6 7 7 4
[97081] 5 4 7 4 4 9 6 5 6 6 5 9 5 7 5 7 8 7 5 7 6 6 5 7
[97105] 5 7 7 3 7 6 6 7 8 8 7 6 9 5 8 9 5 8 8 6 6 3 3 6
[97129] 9 8 8 3 5 5 8 7 9 4 1 6 6 8 7 7 7 5 5 9 7 7 3 6
[97153] 7 7 6 7 7 7 3 7 5 5 6 6 8 4 6 4 5 5 5 4 5 5 7 6
[97177] 7 4 6 9 5 7 6 6 5 5 7 6 7 3 6 7 7 7 2 5 5 4 8 9
[97201] 6 6 5 8 6 5 5 8 8 7 6 6 6 2 9 5 6 5 6 9 4 7 5 5
[97225] 8 6 5 5 4 8 3 4 5 7 5 8 6 5 8 7 8 5 7 7 4 7 6 7
[97249] 5 6 6 5 4 4 4 7 7 5 5 5 6 7 8 5 5 10 4 7 8 6 7 7
[97273] 6 7 5 8 5 5 5 6 8 7 4 6 6 9 6 5 3 2 6 8 4 5 8 6
[97297] 6 8 7 6 5 6 6 6 4 8 8 6 6 6 7 4 4 6 8 4 4 6 8 7
[97321] 8 5 4 9 7 7 7 8 6 6 6 4 8 7 4 9 6 6 7 5 10 7 6 5
[97345] 8 7 4 4 7 8 4 6 6 8 6 4 8 8 8 6 8 5 8 5 5 4 8 8
[97369] 6 7 7 8 6 5 7 4 7 7 7 7 6 4 4 5 2 3 6 8 8 8 8 8
[97393] 4 4 5 7 3 6 4 6 9 1 4 3 8 4 9 7 6 6 7 3 5 5 5 5
[97417] 7 9 5 8 7 6 8 7 7 4 7 7 5 9 7 8 7 7 6 5 6 7 7 4
[97441] 5 5 7 8 7 6 6 6 7 7 7 9 5 3 6 4 6 6 9 6 6 6 6 6
[97465] 6 8 7 7 5 8 4 5 5 7 8 3 6 6 5 7 4 7 5 7 7 7 4 4
[97489] 4 8 7 7 5 5 7 7 4 3 9 5 3 4 7 7 4 10 6 9 5 8 3 7
[97513] 6 5 7 9 6 7 6 6 6 8 5 7 5 6 6 6 6 5 6 5 5 5 6 5
[97537] 6 4 6 7 6 6 7 7 6 8 7 5 6 7 5 6 4 6 9 7 8 6 9 6
[97561] 7 6 6 10 6 5 7 4 5 9 7 8 6 7 5 2 7 6 7 6 4 7 9 5
[97585] 6 5 5 6 8 6 9 7 6 4 7 8 7 7 6 6 6 6 7 9 5 6 6 7
[97609] 5 5 7 7 5 6 5 5 7 7 5 6 3 4 9 6 7 7 7 5 9 5 6 6
[97633] 6 5 3 4 7 7 4 7 6 5 3 6 6 4 7 4 7 7 5 6 6 5 5 2
[97657] 8 9 8 7 4 6 8 6 6 7 8 7 5 6 5 7 6 7 6 4 6 7 7 6
[97681] 4 7 5 6 4 7 7 9 3 4 5 7 6 6 6 7 9 4 6 7 6 6 6 4
[97705] 9 5 5 6 7 7 7 7 4 8 8 4 9 4 6 5 4 5 7 7 4 6 10 6
[97729] 6 5 3 7 7 7 7 7 5 7 5 9 4 6 6 8 5 7 8 4 6 8 8 5
[97753] 4 7 5 9 7 4 5 5 6 5 5 4 6 7 8 9 7 7 7 5 3 8 5 5
[97777] 7 4 5 5 6 4 9 3 4 4 5 4 6 3 9 5 4 7 6 7 6 6 5 6
[97801] 7 6 4 6 5 6 7 5 6 8 7 7 6 10 7 8 5 6 5 7 4 8 7 7
[97825] 6 7 4 5 8 9 7 6 7 9 6 4 6 9 5 6 9 6 6 7 8 5 7 5
[97849] 6 6 5 2 5 4 8 8 9 4 4 7 5 3 7 2 6 5 7 5 7 8 7 6
[97873] 6 3 4 5 8 5 6 6 7 8 6 4 3 7 5 8 6 7 3 8 6 4 4 7
[97897] 6 6 3 7 5 7 8 3 9 6 8 5 5 4 7 2 6 5 6 7 6 4 7 6
[97921] 6 7 5 7 8 8 8 7 6 7 5 7 5 5 6 5 6 5 5 5 7 4 5 6
[97945] 6 6 5 6 6 5 6 5 4 4 7 4 5 7 8 7 7 6 4 8 5 3 5 9
[97969] 6 8 6 3 6 6 6 4 8 3 7 8 9 6 5 6 5 3 8 2 8 5 2 4
[97993] 7 8 8 5 5 4 6 8 8 6 8 7 7 6 6 4 7 7 4 5 5 7 5 6
[98017] 5 7 6 5 8 5 7 3 8 5 4 8 8 6 3 7 6 9 6 6 4 6 5 7
[98041] 8 6 6 6 5 6 4 6 5 3 7 6 3 3 5 5 5 6 10 6 8 6 8 6
[98065] 7 5 5 8 5 6 7 7 5 7 2 7 5 8 6 5 6 8 4 6 9 6 8 6
[98089] 5 7 8 6 7 4 6 6 5 6 7 4 5 6 5 5 5 6 3 6 4 7 8 6
[98113] 7 9 7 6 6 6 8 8 7 5 6 5 6 6 5 7 5 8 7 8 5 3 5 4
[98137] 6 5 5 6 6 8 6 6 6 4 7 8 4 4 7 4 7 9 8 8 7 6 6 6
[98161] 5 5 5 4 7 6 8 4 6 5 5 8 8 8 6 5 8 6 7 8 7 7 8 6
[98185] 3 7 8 6 5 8 9 7 8 7 7 5 8 5 2 3 7 7 5 8 5 8 5 7
[98209] 6 7 6 5 4 7 5 6 3 8 7 8 7 7 7 6 5 6 8 4 6 6 6 6
[98233] 4 7 4 6 4 7 6 7 7 7 7 5 5 4 8 8 8 8 4 5 4 4 6 7
[98257] 4 7 6 4 7 7 8 7 3 6 6 6 5 6 7 4 4 6 5 4 9 6 8 6
[98281] 4 5 5 8 6 6 2 7 5 9 7 7 4 6 3 7 6 9 8 6 9 5 5 5
[98305] 5 8 5 3 5 7 7 8 7 7 5 5 8 5 6 5 5 5 5 7 5 6 4 6
[98329] 5 6 7 5 7 8 5 6 7 7 7 5 6 5 4 7 8 9 5 8 6 7 4 7
[98353] 7 5 5 8 7 4 7 9 7 5 7 6 6 9 4 7 4 8 9 6 8 5 6 5
[98377] 7 6 6 8 7 8 6 5 5 7 6 4 6 6 6 6 6 4 5 5 6 5 7 6
[98401] 4 7 3 6 7 6 8 4 7 7 7 7 8 5 5 3 8 10 7 4 7 5 5 7
[98425] 7 5 8 6 4 5 6 5 6 6 3 9 7 5 4 5 6 3 5 6 7 5 3 6
[98449] 5 7 6 4 6 6 6 6 8 8 7 7 7 4 6 3 6 7 5 2 5 6 7 5
[98473] 4 5 6 5 6 7 4 7 6 5 7 6 5 4 5 7 9 3 7 7 6 8 5 7
[98497] 7 7 3 7 3 5 5 8 4 8 6 4 5 4 4 7 4 4 4 3 5 5 4 7
[98521] 4 7 8 2 7 5 7 5 5 7 9 7 8 4 8 8 6 5 4 8 7 6 8 4
[98545] 6 6 10 6 5 5 6 5 10 6 6 6 6 5 6 5 6 6 5 7 7 4 8 4
[98569] 3 6 6 8 5 7 7 5 6 7 8 6 7 6 8 4 4 7 4 6 7 7 7 5
[98593] 6 5 3 5 6 9 7 5 7 6 5 5 8 7 6 6 6 5 7 7 4 7 3 3
[98617] 6 7 6 7 8 5 6 6 8 7 7 8 4 6 7 6 4 6 9 8 6 7 6 5
[98641] 8 6 6 5 6 5 4 5 6 6 6 7 7 7 8 2 5 6 7 6 3 7 5 6
[98665] 6 8 5 6 6 5 8 4 5 2 8 6 4 7 5 5 9 6 8 5 5 6 7 6
[98689] 2 4 5 5 5 7 5 7 5 4 3 5 6 8 5 3 9 7 4 5 6 6 5 9
[98713] 8 7 5 9 5 3 7 4 7 5 3 5 5 3 7 4 5 3 8 5 6 7 8 5
[98737] 7 2 8 5 7 7 4 8 3 4 6 5 5 6 7 9 6 6 8 8 4 7 7 6
[98761] 6 7 5 7 8 5 5 6 4 5 9 8 3 6 7 7 6 5 7 3 7 6 7 8
[98785] 4 6 5 5 4 6 3 5 4 7 9 6 6 5 5 5 9 4 8 7 6 7 6 4
[98809] 9 6 8 6 7 7 5 8 7 8 5 7 5 7 4 8 7 7 5 3 5 7 5 2
[98833] 3 6 7 7 9 4 6 7 6 8 6 6 8 6 4 6 3 6 7 6 4 6 5 6
[98857] 6 7 6 4 7 8 8 7 6 3 5 8 6 3 7 6 5 6 8 5 4 5 5 6
[98881] 6 4 5 6 9 6 8 7 5 7 5 5 6 7 5 6 7 7 7 7 7 5 6 7
[98905] 6 5 5 6 6 8 6 5 5 5 6 6 3 6 8 6 4 6 6 5 4 8 7 8
[98929] 7 6 6 3 5 6 9 5 7 4 6 7 6 6 5 5 7 3 6 4 6 6 6 7
[98953] 6 7 5 9 5 6 4 6 6 5 3 6 4 5 8 6 6 5 6 7 5 5 5 3
[98977] 7 7 5 3 3 7 3 6 4 6 3 5 7 7 6 4 4 4 8 6 7 5 5 8
[99001] 5 5 6 6 4 6 4 5 4 7 8 4 8 7 5 5 4 5 5 2 6 6 6 7
[99025] 7 5 9 6 5 8 5 7 6 8 7 6 6 6 5 6 5 5 3 4 6 6 7 3
[99049] 7 6 6 8 3 7 10 7 5 6 5 7 4 5 9 4 4 6 6 7 8 5 5 5
[99073] 6 6 7 8 5 6 7 6 7 7 8 5 8 5 6 9 6 4 5 7 6 7 6 6
[99097] 5 5 5 7 6 7 5 8 4 4 6 7 8 4 7 6 1 6 6 8 4 4 7 7
[99121] 8 6 4 6 7 2 7 8 4 6 7 5 9 5 4 9 8 4 4 4 6 9 7 6
[99145] 5 7 7 6 8 4 5 8 6 7 8 5 8 8 7 8 7 4 4 6 7 8 7 7
[99169] 4 8 7 8 8 5 6 5 7 5 7 3 5 5 6 3 7 6 6 7 6 8 6 5
[99193] 5 7 7 6 4 6 8 7 4 7 7 2 5 5 4 6 6 3 7 7 6 8 8 9
[99217] 5 7 10 6 4 7 7 6 6 5 2 6 8 6 6 7 6 8 7 4 7 7 6 8
[99241] 6 8 6 7 7 7 2 7 6 2 5 4 5 3 4 6 6 5 8 5 9 4 9 5
[99265] 4 7 10 7 5 7 8 5 1 6 7 7 8 7 3 8 5 4 9 6 6 6 7 6
[99289] 6 6 3 8 6 6 5 6 8 8 8 4 3 7 5 6 8 3 6 7 7 7 6 5
[99313] 8 6 5 6 8 7 7 8 3 7 8 5 6 8 7 6 7 5 1 6 7 5 5 8
[99337] 7 7 6 4 7 5 6 8 5 7 7 8 8 7 5 8 5 9 8 9 5 8 7 4
[99361] 6 7 5 5 7 6 7 5 5 6 5 7 5 6 6 7 6 8 6 9 7 8 8 7
[99385] 5 7 6 6 5 7 8 9 7 6 8 5 6 9 6 3 6 5 7 6 7 6 9 6
[99409] 5 6 5 5 4 8 3 4 4 7 8 4 5 6 3 7 5 7 2 4 9 6 8 8
[99433] 6 8 3 6 7 5 5 6 5 7 5 6 7 10 8 5 6 9 8 6 5 7 5 5
[99457] 5 7 5 6 4 7 4 4 7 3 5 3 5 9 6 8 9 4 4 8 2 5 6 6
[99481] 6 6 2 4 8 8 6 6 4 8 6 6 10 7 7 5 5 7 6 7 6 8 4 9
[99505] 6 6 3 4 5 8 8 7 4 5 6 7 5 6 6 5 8 6 8 7 7 8 4 6
[99529] 6 7 4 8 5 7 8 3 9 5 4 8 5 5 6 6 7 5 7 6 4 2 3 4
[99553] 5 8 5 8 7 7 5 6 8 9 5 5 9 4 7 6 3 7 7 5 8 7 8 5
[99577] 6 6 8 2 8 7 7 8 6 6 4 4 7 6 9 7 6 6 8 6 7 7 6 4
[99601] 2 6 3 7 4 9 5 6 7 5 6 5 7 7 7 9 6 6 5 7 7 5 4 6
[99625] 6 8 4 6 5 8 7 7 5 6 6 7 6 7 6 3 5 7 6 5 10 6 8 4
[99649] 4 6 4 2 7 7 7 5 6 8 7 6 5 8 4 6 4 7 6 7 7 9 8 5
[99673] 5 6 7 4 8 5 7 6 8 6 4 7 8 6 6 4 7 6 4 5 8 5 6 6
[99697] 5 3 6 3 5 7 4 6 6 8 5 6 6 5 6 5 7 8 6 6 4 4 6 6
[99721] 6 5 7 3 7 6 6 7 5 7 5 7 6 7 6 4 6 5 4 8 6 6 6 6
[99745] 7 7 6 3 8 3 6 6 3 4 9 6 6 5 8 5 6 5 6 5 4 7 7 4
[99769] 7 6 6 7 3 7 8 7 5 7 8 4 8 5 3 7 4 2 2 8 4 6 5 3
[99793] 5 5 5 7 10 5 4 5 5 5 8 5 5 4 5 4 6 7 7 8 6 6 6 5
[99817] 5 5 5 7 4 7 7 9 5 7 6 8 4 9 4 6 8 5 9 4 3 7 7 4
[99841] 5 4 7 4 5 7 6 8 3 7 4 7 7 4 6 7 7 5 8 8 6 8 5 7
[99865] 2 8 7 4 6 7 7 7 4 6 7 5 8 8 4 6 6 4 8 8 8 6 5 6
[99889] 6 4 5 3 6 5 7 8 6 6 5 4 7 6 4 6 8 6 9 7 5 5 7 5
[99913] 7 7 4 5 6 5 6 7 5 7 2 4 8 3 5 6 4 6 5 6 4 4 6 5
[99937] 3 6 3 6 9 6 7 8 6 7 6 6 8 5 5 7 5 6 5 7 6 6 5 6
[99961] 9 5 8 7 4 6 5 5 6 5 6 8 7 5 6 3 6 7 4 8 6 9 5 9
[99985] 7 4 7 6 6 7 2 5 9 6 7 5 6 8 5 6
Recall that the uniform distribution \( U(a, b) \) is defined such that all intervals of the same length on the distribution’s support are equally probable.
Suppose \( a=0 \) and \( b=1 \), we will use the dunif
function to plot the probability density function similarly to earlier examples:
par(cex = 2.0, mar = c(5, 4, 4, 2) + 0.3)
f = dunif(x=seq(-1,2,by=0.01), min=0, max=1)
plot(x=seq(-1,2,by=0.01), f, type = "s", main = "Uniform distribution on [0,1]", xlab = "x", ylab = "Density")
In R the generic functions for the uniform distribution are the following:
dunif(x, min, max)
is the probability density function of the uniform.punif(q, min, max)
is the cumulative density function of the uniform.runif(n, min, max)
randomly generates a sample of size n from the uniformThese concepts mirror what we showed with the binomial distribution exactly, up to the differences of the discrete versus continuous random variables.
For instance, let's simulate a sample from the uniform distribution over the support \( [0,1] \);
sample_10 = runif(10, min=0, max=1)
sample_10
[1] 0.03715792 0.92779020 0.44798960 0.91590227 0.35575179 0.91531269
[7] 0.42831727 0.65954412 0.14692106 0.34960237
sample_100000 = runif(100000, min=0, max=1)
sample_100000
[1] 6.474019e-01 7.374771e-01 8.521966e-02 7.412854e-01 3.759573e-01
[6] 5.785599e-01 6.533387e-01 7.269142e-01 4.552562e-02 8.952566e-02
[11] 7.182468e-02 2.979357e-01 9.947419e-01 9.322832e-01 5.350167e-01
[16] 6.062503e-01 9.583111e-01 4.107010e-01 8.878411e-01 9.029002e-01
[21] 6.177375e-01 5.079080e-01 4.315389e-01 4.377010e-01 8.712872e-01
[26] 7.517495e-01 5.092539e-01 2.805277e-01 9.092048e-01 1.719444e-01
[31] 1.359298e-01 7.775433e-01 2.803640e-01 4.809508e-01 5.155247e-01
[36] 4.798640e-02 8.583991e-01 1.358147e-01 9.114432e-01 6.348719e-01
[41] 8.840110e-01 9.617742e-01 4.911525e-01 3.968316e-01 7.575660e-01
[46] 5.848821e-01 7.493375e-01 7.762398e-02 2.142836e-01 1.590208e-01
[51] 4.137514e-01 7.625841e-01 5.092029e-01 3.771626e-01 5.459336e-01
[56] 2.927365e-01 3.908592e-01 5.579719e-01 5.147112e-01 2.305138e-01
[61] 6.826778e-01 7.753322e-02 9.561344e-01 7.996752e-01 8.590376e-01
[66] 1.483390e-01 8.919751e-02 6.012283e-01 7.489849e-02 7.873487e-01
[71] 3.468172e-01 5.054559e-01 7.194010e-01 6.077963e-01 4.321952e-01
[76] 9.934402e-01 1.825064e-01 4.054995e-01 5.620676e-01 2.435280e-01
[81] 3.544904e-01 1.560861e-01 3.647198e-01 1.445120e-01 3.600642e-01
[86] 5.621755e-01 4.470706e-01 3.899517e-01 4.643040e-01 3.114687e-01
[91] 7.349752e-01 4.065045e-01 7.652673e-02 2.782634e-01 5.684990e-01
[96] 7.755580e-01 2.144282e-01 3.907462e-01 8.965329e-01 8.606230e-01
[101] 3.938088e-01 9.142965e-01 5.623709e-01 1.745403e-01 2.234485e-01
[106] 1.674301e-01 9.147503e-01 3.372738e-01 5.149893e-01 2.912118e-01
[111] 6.734624e-01 5.885521e-01 9.973539e-01 9.294091e-01 3.197185e-01
[116] 1.312243e-01 8.443758e-01 6.541233e-01 4.825555e-01 7.066728e-01
[121] 9.202414e-01 1.130602e-01 6.627312e-01 9.088097e-01 6.217523e-01
[126] 3.592574e-02 8.684399e-01 9.604258e-01 9.711959e-02 9.449910e-02
[131] 9.983684e-02 7.647387e-01 9.514852e-01 6.767370e-01 7.834053e-01
[136] 3.171008e-02 7.182701e-01 4.347995e-01 3.946397e-01 4.418238e-01
[141] 2.592396e-01 6.801461e-01 3.265250e-01 1.043203e-01 2.043458e-01
[146] 1.216467e-01 8.542961e-01 2.391442e-01 1.896275e-01 6.823737e-01
[151] 1.007785e-01 9.341119e-01 2.630005e-01 7.340259e-01 7.468790e-01
[156] 3.767362e-01 3.051722e-01 2.252391e-01 6.581294e-01 5.485037e-01
[161] 9.533018e-01 9.833038e-01 1.463870e-01 2.821533e-01 2.620926e-01
[166] 2.793136e-02 7.140963e-01 6.964750e-01 6.480858e-01 9.243497e-01
[171] 6.679947e-02 7.690500e-01 6.899777e-01 9.454552e-01 5.051119e-01
[176] 9.806287e-01 5.595372e-01 5.504850e-02 6.717820e-01 6.270067e-01
[181] 7.233144e-01 1.168910e-02 2.324360e-01 8.976944e-01 8.283996e-01
[186] 7.048711e-01 6.355422e-01 6.713400e-02 2.882117e-01 5.648818e-01
[191] 2.816606e-01 6.690316e-01 3.135878e-01 2.300260e-01 9.847946e-01
[196] 3.958152e-01 5.586969e-01 2.776492e-01 2.466881e-01 2.771989e-02
[201] 1.470323e-01 3.759430e-01 2.110370e-01 1.764958e-01 6.706184e-01
[206] 3.421517e-01 5.832024e-01 7.545807e-01 1.926314e-01 8.596746e-01
[211] 4.395216e-01 7.326086e-01 4.027887e-01 5.711624e-01 4.097629e-01
[216] 1.726517e-01 8.598706e-01 9.293287e-01 3.690186e-01 6.459260e-01
[221] 6.173085e-01 2.130318e-01 2.966756e-01 2.514887e-01 6.935652e-01
[226] 2.234310e-01 4.672925e-01 1.927354e-01 6.059878e-01 4.976730e-01
[231] 5.172456e-01 4.921468e-02 8.062274e-01 3.565034e-01 3.943929e-01
[236] 4.457370e-01 7.015637e-01 9.686931e-01 1.672274e-01 1.407346e-01
[241] 4.110249e-01 7.524244e-01 9.879761e-01 1.519990e-01 4.487809e-01
[246] 2.652446e-01 9.572859e-01 9.672725e-01 1.338887e-01 9.595496e-02
[251] 3.617856e-01 4.179899e-01 5.113547e-01 3.613738e-01 9.783007e-01
[256] 1.207381e-01 4.029529e-01 4.965292e-01 3.108286e-01 1.357867e-01
[261] 6.789750e-01 5.206648e-01 5.708184e-01 4.466016e-01 8.748640e-01
[266] 5.390686e-01 6.992312e-01 3.045179e-01 4.036462e-01 2.444219e-01
[271] 8.068467e-02 5.197886e-01 2.774871e-01 9.036175e-03 4.244579e-02
[276] 6.133747e-01 7.358940e-01 2.415352e-01 2.664980e-01 5.805945e-01
[281] 7.095168e-01 1.124422e-01 4.413869e-01 9.789698e-01 2.100962e-01
[286] 3.826188e-01 2.203621e-01 2.094528e-01 2.758111e-01 3.197604e-01
[291] 8.320828e-01 1.288729e-01 3.193090e-01 1.783174e-01 2.606897e-01
[296] 7.155873e-01 6.028680e-01 4.114397e-01 8.568134e-01 6.167785e-01
[301] 1.340877e-01 1.569987e-01 7.123464e-02 2.407252e-01 9.029858e-01
[306] 1.659621e-01 5.820697e-01 6.223455e-01 5.329498e-01 6.728422e-02
[311] 4.974772e-01 6.278418e-01 1.824730e-01 4.756611e-01 1.709822e-01
[316] 1.052339e-01 6.383644e-01 6.914265e-01 4.454228e-01 6.657044e-01
[321] 6.106944e-01 8.861650e-01 9.199919e-01 7.311066e-01 6.222900e-01
[326] 4.860124e-01 6.461336e-02 6.126475e-01 9.452963e-01 3.161110e-02
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[1246] 4.125002e-01 1.824253e-01 5.276265e-01 1.590795e-01 2.048206e-01
[1251] 8.992776e-01 9.293170e-01 1.456793e-01 8.761490e-01 4.635135e-02
[1256] 2.128513e-01 2.358668e-02 5.554678e-01 6.348175e-01 4.275759e-01
[1261] 5.202243e-01 5.999222e-01 6.149267e-01 7.897207e-02 4.836639e-01
[1266] 6.982984e-01 1.008274e-01 4.637525e-01 3.311532e-01 8.780883e-01
[1271] 2.410900e-03 1.795520e-01 7.223363e-01 4.944861e-01 1.772344e-01
[1276] 8.987897e-01 9.316776e-01 4.730637e-01 5.911421e-01 6.237173e-01
[1281] 5.711910e-01 7.158558e-01 4.301871e-01 4.654706e-01 6.155568e-01
[1286] 1.700941e-01 5.041513e-02 8.850585e-01 9.815827e-01 3.273193e-01
[1291] 1.377771e-01 6.192343e-01 7.720425e-01 6.436139e-01 8.332344e-01
[1296] 5.225872e-01 6.118773e-01 1.731293e-01 9.317662e-01 1.388764e-02
[1301] 6.896140e-02 9.121358e-01 1.495952e-01 9.004120e-01 7.194369e-01
[1306] 2.443575e-01 7.648444e-01 7.279543e-02 7.354150e-01 4.435171e-01
[1311] 9.903680e-01 1.086540e-01 7.428781e-01 9.001229e-01 3.250275e-01
[1316] 2.912182e-01 5.781965e-01 6.782065e-01 7.554748e-01 5.256285e-01
[1321] 4.993299e-01 9.400543e-01 5.989981e-01 6.242336e-01 9.983653e-01
[1326] 1.932681e-01 7.964616e-01 5.718599e-01 6.577014e-01 5.678333e-01
[1331] 8.175203e-01 6.029583e-01 6.899680e-01 7.571293e-01 3.768310e-01
[1336] 2.741752e-01 2.713723e-01 5.242298e-01 6.182967e-01 4.686370e-01
[1341] 2.938174e-01 3.923064e-01 4.073041e-01 8.419979e-02 3.044035e-01
[1346] 5.920584e-01 8.160581e-01 4.416400e-01 2.768657e-01 9.091772e-02
[1351] 3.923820e-01 7.827776e-01 6.795184e-01 1.198078e-01 3.103754e-01
[1356] 8.022707e-01 6.599787e-01 4.509541e-01 1.762640e-01 1.833185e-01
[1361] 2.606235e-01 3.379859e-01 9.061733e-01 1.481666e-01 8.794534e-01
[1366] 8.406279e-01 6.443241e-01 6.412979e-01 8.433067e-02 2.733953e-01
[1371] 5.278653e-02 8.144059e-01 5.336831e-01 6.575315e-01 9.193243e-01
[1376] 2.261862e-02 8.516226e-01 1.362467e-01 3.551945e-01 9.805363e-01
[1381] 7.020156e-02 7.449999e-01 7.134167e-01 3.383812e-01 5.810508e-01
[1386] 3.772838e-01 3.797123e-01 7.613959e-01 8.707406e-03 2.373048e-01
[1391] 1.373139e-02 5.110326e-01 5.054443e-01 1.307753e-01 7.268024e-01
[1396] 3.529624e-01 8.579975e-02 1.843574e-01 6.362196e-01 8.939120e-01
[1401] 3.826358e-01 4.517991e-01 5.828283e-01 3.245227e-01 6.343359e-01
[1406] 7.525045e-01 5.624869e-01 6.443892e-01 3.072925e-01 7.090158e-01
[1411] 4.677211e-01 4.807972e-01 6.059861e-01 3.977225e-01 4.041689e-01
[1416] 4.953044e-01 3.356287e-01 7.164657e-01 6.235348e-01 3.138982e-01
[1421] 8.487769e-01 4.794611e-01 6.809648e-01 7.009802e-01 2.645305e-01
[1426] 9.912302e-02 4.222423e-01 5.504917e-02 4.272062e-01 6.348044e-01
[1431] 2.338133e-01 7.424774e-01 6.022315e-01 5.869954e-02 6.934173e-01
[1436] 1.402629e-01 3.962118e-01 7.384121e-01 5.362473e-01 6.237673e-01
[1441] 6.695301e-01 1.508905e-01 1.564640e-01 9.781506e-01 4.237619e-01
[1446] 1.501076e-01 6.376760e-01 7.098745e-01 4.137126e-01 6.090092e-01
[1451] 6.061920e-03 7.928018e-02 5.684066e-01 8.399821e-01 8.194158e-01
[1456] 5.950990e-01 1.182550e-01 6.834324e-01 7.457303e-01 6.047611e-01
[1461] 3.447699e-01 3.102502e-01 2.669904e-02 2.964462e-02 8.931303e-01
[1466] 7.059017e-01 4.102725e-01 4.229938e-02 2.106611e-01 3.299633e-01
[1471] 5.831975e-01 1.078413e-01 2.860198e-01 7.065387e-01 4.478860e-01
[1476] 5.070641e-02 6.214914e-01 3.871785e-01 5.972017e-01 5.744907e-01
[1481] 9.861519e-01 5.714086e-01 3.423781e-01 3.755737e-01 8.100813e-01
[1486] 4.660575e-01 1.637742e-01 8.791233e-01 7.387539e-01 4.868862e-01
[1491] 4.723098e-01 4.024792e-02 2.611274e-01 9.676099e-02 9.191434e-01
[1496] 2.290054e-01 1.898276e-01 6.891106e-01 7.034406e-01 1.530710e-01
[1501] 6.228257e-01 8.236082e-01 1.998801e-01 7.268678e-01 1.594993e-01
[1506] 6.270599e-01 3.396935e-01 5.907917e-01 9.108456e-01 1.041571e-01
[1511] 9.620811e-01 3.406611e-01 3.526220e-01 4.053584e-01 1.855929e-01
[1516] 1.535999e-01 5.176515e-01 8.964459e-01 7.340067e-01 5.847958e-01
[1521] 4.195917e-01 4.925987e-01 3.640483e-01 5.769177e-01 8.971131e-01
[1526] 9.215728e-01 6.797213e-01 1.393897e-01 8.556146e-01 5.314453e-01
[1531] 3.664036e-01 2.315898e-01 5.489951e-01 1.206891e-01 1.652537e-01
[1536] 9.085027e-01 1.388352e-01 3.412400e-01 8.319157e-01 7.376479e-01
[1541] 9.349153e-01 3.788889e-01 7.269887e-01 9.308057e-03 1.392179e-01
[1546] 2.102174e-02 6.210463e-01 9.587134e-01 6.940674e-01 2.670393e-01
[1551] 5.633654e-01 3.888850e-01 5.485550e-01 7.638686e-01 8.918567e-01
[1556] 1.740806e-01 2.439364e-01 4.003684e-01 6.469957e-01 7.991136e-01
[1561] 9.346474e-01 3.894622e-01 5.937302e-01 6.663786e-01 2.476522e-02
[1566] 2.159729e-01 2.126841e-01 5.620810e-01 3.116511e-01 8.167011e-02
[1571] 6.392368e-01 5.878221e-01 4.878438e-01 4.991530e-01 5.332443e-01
[1576] 7.974336e-01 8.055556e-01 8.962377e-01 1.316777e-01 4.615381e-01
[1581] 8.333071e-01 1.725319e-01 4.289715e-01 7.691883e-01 6.947859e-01
[1586] 1.611006e-01 2.104932e-01 8.337358e-01 7.233906e-01 2.643221e-01
[1591] 5.324400e-01 6.797288e-01 9.786868e-01 6.261359e-02 7.701271e-01
[1596] 9.122156e-01 5.991338e-01 8.735240e-01 8.942069e-01 6.770029e-01
[1601] 6.356244e-01 1.748222e-01 6.579633e-01 3.941282e-01 5.656187e-01
[1606] 8.734278e-01 2.609852e-01 8.352462e-01 6.947271e-01 1.622175e-01
[1611] 6.027343e-01 9.786644e-01 8.067084e-01 6.187405e-01 8.658512e-01
[1616] 5.300207e-01 7.910652e-01 4.736838e-01 8.804359e-01 5.516721e-01
[1621] 5.408244e-01 3.625396e-01 6.799377e-01 1.982012e-01 3.637106e-01
[1626] 7.665724e-01 8.625987e-01 5.287789e-01 3.589841e-01 7.622327e-01
[1631] 7.408553e-01 2.797737e-01 6.246476e-01 7.841745e-01 5.612273e-01
[1636] 2.958492e-01 5.237936e-02 3.686653e-01 3.915467e-01 8.678402e-02
[1641] 5.905127e-01 4.835819e-01 1.784913e-01 5.308226e-01 4.555304e-01
[1646] 8.189739e-01 4.010808e-01 7.286235e-01 3.128872e-01 6.422868e-01
[1651] 8.763392e-01 6.873058e-01 8.505805e-01 8.086032e-01 7.543712e-01
[1656] 6.815436e-01 4.680457e-01 4.573135e-01 5.072380e-01 4.983110e-01
[1661] 2.792824e-01 6.642165e-01 9.307500e-01 9.009777e-01 9.208480e-01
[1666] 2.721550e-01 4.103543e-01 8.267015e-01 1.870165e-01 3.858522e-01
[1671] 8.028531e-01 6.786798e-02 6.969900e-01 9.989463e-01 8.530834e-01
[1676] 3.163825e-01 3.385187e-01 4.024079e-01 3.021978e-01 2.126285e-01
[1681] 7.113056e-01 7.339262e-01 4.122492e-01 3.347911e-01 6.585786e-01
[1686] 6.400362e-01 1.385273e-01 4.936262e-01 3.662566e-01 8.879611e-01
[1691] 9.643248e-01 8.237782e-01 8.635978e-01 3.046566e-01 6.935274e-01
[1696] 8.970101e-01 4.137077e-01 4.373990e-01 2.521235e-01 8.761631e-01
[1701] 6.513258e-01 4.056696e-01 8.367442e-01 7.524963e-01 7.945352e-02
[1706] 9.143136e-01 7.842729e-02 2.247380e-01 2.218164e-01 5.087304e-01
[1711] 2.213274e-01 9.967737e-01 1.210993e-01 5.035664e-01 8.536606e-02
[1716] 6.257455e-01 9.815518e-01 6.521217e-01 2.746306e-01 3.091365e-01
[1721] 8.004181e-02 3.043068e-01 4.904499e-01 9.572477e-01 8.902307e-01
[1726] 2.570798e-01 3.267874e-01 4.268866e-01 6.960491e-01 1.424157e-01
[1731] 8.367332e-01 7.073038e-03 2.707498e-01 8.493760e-01 9.550449e-03
[1736] 5.562098e-01 4.958246e-01 4.343907e-01 9.806998e-01 3.390901e-01
[1741] 2.343364e-01 9.166019e-01 2.109712e-01 1.793622e-01 8.419697e-01
[1746] 7.545421e-01 1.793397e-01 4.057764e-01 7.054735e-01 6.460672e-01
[1751] 6.784016e-01 9.686452e-01 3.385627e-01 9.309632e-01 8.920653e-02
[1756] 6.561308e-01 9.480643e-01 2.898596e-01 9.743469e-01 1.737194e-01
[1761] 9.936351e-01 4.026729e-01 6.532949e-01 1.069491e-01 2.813623e-01
[1766] 9.929966e-01 4.605313e-01 6.927391e-02 8.006070e-01 7.619325e-01
[1771] 7.440421e-01 3.959194e-01 2.831733e-01 6.743555e-01 5.567207e-01
[1776] 7.703963e-01 7.867098e-01 6.523398e-01 9.915926e-01 6.457459e-01
[1781] 2.999364e-02 3.830515e-01 9.756342e-01 3.418372e-01 9.794548e-01
[1786] 8.283084e-01 1.818277e-01 3.165923e-01 6.467323e-01 8.222152e-01
[1791] 7.944233e-01 7.805958e-01 2.452229e-01 9.394312e-01 3.444336e-01
[1796] 5.871570e-01 7.374257e-02 2.630100e-01 2.310506e-01 3.062143e-01
[1801] 9.705646e-01 5.763256e-01 4.652647e-01 4.882481e-01 2.165402e-01
[1806] 2.886078e-01 6.863574e-02 4.557227e-01 2.975629e-01 6.344871e-01
[1811] 3.775921e-01 4.833134e-01 5.204148e-01 1.454630e-01 5.491817e-02
[1816] 4.814358e-01 2.839184e-01 5.510204e-01 3.875126e-01 6.634416e-01
[1821] 6.819398e-01 7.387751e-01 9.505980e-01 7.847079e-01 7.702357e-01
[1826] 1.527102e-01 3.016506e-01 6.030688e-01 9.107748e-01 6.490335e-01
[1831] 5.554904e-01 9.093050e-02 5.658187e-01 1.299125e-01 8.127387e-02
[1836] 7.528330e-01 3.835768e-01 6.265012e-01 9.198989e-01 1.203724e-01
[1841] 3.750999e-01 4.182320e-02 3.058294e-02 3.501205e-01 8.799800e-01
[1846] 9.193609e-01 8.335506e-01 1.089811e-01 5.476247e-01 4.810724e-01
[1851] 1.052306e-01 7.935536e-01 6.651186e-01 5.412545e-01 9.238642e-01
[1856] 7.511842e-01 2.662764e-01 6.206501e-01 8.973158e-01 7.425901e-01
[1861] 2.164970e-02 3.871416e-01 6.402336e-01 5.588251e-01 8.182336e-01
[1866] 6.313329e-01 9.632984e-01 3.791546e-01 4.078598e-01 7.458913e-01
[1871] 1.207054e-01 6.203830e-01 3.205546e-01 6.908017e-01 4.589400e-01
[1876] 9.445042e-01 1.588145e-01 2.981081e-01 2.887216e-01 3.771091e-01
[1881] 3.977111e-01 9.664684e-02 1.309399e-03 3.131238e-02 2.531665e-02
[1886] 2.409662e-01 3.585883e-01 7.728396e-02 1.580877e-01 4.372247e-01
[1891] 3.828360e-01 4.438088e-01 2.214736e-01 8.214286e-01 8.947140e-01
[1896] 6.357021e-01 2.932642e-01 2.669675e-01 7.354881e-01 6.439454e-01
[1901] 3.037973e-01 2.520115e-02 6.294930e-01 9.036597e-01 7.391227e-01
[1906] 4.298800e-01 2.481875e-01 5.922814e-01 3.205836e-02 9.171773e-01
[1911] 9.130999e-01 7.396590e-01 5.329495e-01 7.582370e-01 5.607042e-02
[1916] 1.279158e-01 8.018491e-02 1.573985e-01 5.625951e-01 8.994232e-01
[1921] 3.144514e-01 3.014146e-01 3.033455e-01 2.447223e-01 5.135580e-01
[1926] 4.287882e-01 4.810759e-01 9.122045e-02 4.278941e-01 8.201120e-01
[1931] 4.707984e-01 9.984247e-01 3.827774e-01 7.691748e-02 6.889007e-02
[1936] 9.613293e-02 3.089411e-01 5.682266e-01 7.586998e-01 4.733788e-01
[1941] 8.125499e-01 5.106130e-01 7.561990e-01 1.079533e-01 7.446757e-01
[1946] 6.250698e-01 2.822708e-01 8.584519e-01 2.845019e-01 4.448526e-02
[1951] 7.925481e-01 5.067665e-01 2.044270e-01 6.116054e-01 2.654199e-01
[1956] 1.881973e-01 6.273823e-01 4.347607e-01 7.568048e-01 1.099910e-01
[1961] 3.030874e-02 8.491319e-01 9.335413e-01 3.924604e-02 1.373110e-01
[1966] 7.294978e-01 5.473202e-01 5.782072e-02 4.591575e-02 5.189686e-01
[1971] 8.336904e-01 3.363625e-01 9.927966e-01 1.364785e-01 7.248630e-01
[1976] 1.149725e-01 9.688869e-01 4.118883e-01 7.668236e-02 7.909641e-01
[1981] 3.811352e-01 5.191034e-01 3.066256e-01 9.164303e-01 4.470176e-01
[1986] 9.413070e-01 1.615571e-01 5.261324e-01 3.064154e-01 2.744830e-01
[1991] 3.812550e-01 8.605522e-01 7.524179e-02 1.060945e-01 6.501190e-01
[1996] 7.720566e-01 4.903520e-01 6.261153e-01 1.385481e-01 3.871983e-01
[2001] 3.029674e-01 4.269908e-01 2.242440e-01 6.994700e-01 1.365910e-01
[2006] 9.017873e-01 1.757403e-01 4.615632e-01 9.978880e-02 7.538737e-01
[2011] 2.533572e-01 6.305204e-01 2.955404e-01 1.428332e-01 9.067028e-02
[2016] 2.245542e-01 5.850068e-01 3.230094e-01 1.347043e-01 8.082113e-01
[2021] 1.841845e-01 5.318728e-01 3.296925e-01 7.016191e-01 9.470142e-01
[2026] 7.843537e-01 3.359759e-01 9.681412e-01 4.681574e-01 7.401660e-02
[2031] 4.562862e-01 3.649126e-01 8.175314e-01 2.450078e-01 3.010839e-01
[2036] 3.863024e-01 5.553672e-01 9.141368e-01 1.016522e-01 9.054341e-01
[2041] 2.175084e-01 4.733820e-01 8.825670e-01 5.683706e-01 5.422458e-01
[2046] 9.603256e-01 9.412535e-01 4.227109e-01 8.400804e-01 4.259921e-02
[2051] 4.394919e-01 4.284534e-02 7.122619e-01 9.382794e-01 9.916432e-01
[2056] 1.251060e-01 6.319261e-01 7.218404e-01 9.230167e-01 8.668397e-01
[2061] 2.958368e-02 1.517480e-01 5.968971e-01 9.071964e-01 1.922612e-01
[2066] 7.583261e-01 2.974767e-03 9.673310e-01 4.585675e-02 2.071671e-01
[2071] 4.807354e-01 3.788718e-01 2.913731e-01 4.392698e-01 1.013809e-02
[2076] 6.318424e-01 6.422862e-01 1.809836e-01 6.380787e-01 9.127252e-01
[2081] 4.778282e-01 8.209472e-01 6.914383e-01 1.479946e-01 4.832954e-01
[2086] 1.224590e-01 4.290878e-01 4.916049e-01 3.767744e-01 4.389998e-01
[2091] 5.068160e-01 6.380730e-01 2.001335e-01 8.032297e-01 1.995815e-01
[2096] 9.686542e-01 9.527867e-02 7.713791e-01 1.129822e-01 5.727596e-01
[2101] 2.560492e-01 6.467303e-01 7.074569e-01 5.299693e-01 4.755142e-01
[2106] 4.191453e-02 2.200030e-01 7.075150e-01 1.271854e-01 5.232292e-01
[2111] 7.554846e-01 4.506839e-01 3.077785e-01 9.022497e-01 8.845952e-01
[2116] 3.080493e-01 8.966420e-01 4.346960e-01 3.679688e-02 5.188345e-01
[2121] 8.242465e-01 6.397818e-02 4.141398e-01 1.565146e-01 1.228273e-02
[2126] 8.412343e-01 1.519854e-01 3.778929e-01 5.908730e-01 1.456681e-01
[2131] 1.589305e-01 3.929371e-02 7.002082e-03 3.406262e-01 7.627763e-01
[2136] 2.326362e-02 5.732926e-01 1.326203e-01 2.887130e-02 7.529991e-01
[2141] 3.882269e-01 4.342825e-01 8.782384e-01 7.891996e-02 8.546777e-01
[2146] 1.518790e-01 2.019084e-02 9.736302e-01 5.281264e-01 7.430322e-01
[2151] 9.954934e-01 6.857206e-01 8.810635e-01 6.251269e-01 5.458312e-01
[2156] 5.688148e-01 2.238979e-02 9.499211e-01 9.922242e-01 5.339314e-01
[2161] 4.708889e-01 4.537701e-01 2.465584e-01 1.485234e-01 2.681502e-01
[2166] 9.184749e-01 1.616945e-01 5.192278e-01 9.616105e-01 8.345353e-01
[2171] 8.575686e-01 5.032248e-01 6.609288e-01 2.674961e-01 8.354275e-01
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[19586] 2.447586e-02 4.838997e-01 2.365552e-01 5.878142e-02 1.403403e-01
[19591] 1.218359e-01 1.440340e-01 5.337333e-01 5.819528e-01 2.612149e-03
[19596] 3.733492e-01 8.187024e-01 2.996592e-01 1.396987e-01 9.450926e-01
[19601] 8.161467e-01 7.974942e-01 7.983504e-01 6.187016e-01 8.514059e-01
[19606] 1.766512e-02 1.295794e-02 8.239052e-01 7.130597e-01 9.516179e-02
[19611] 5.108899e-01 8.109523e-01 1.774406e-01 2.270327e-01 9.807511e-01
[19616] 8.200635e-01 2.233604e-02 5.630005e-01 6.942480e-01 4.449463e-01
[19621] 6.225529e-01 1.173338e-01 2.117471e-01 3.207800e-01 5.874286e-02
[19626] 7.860854e-01 2.913433e-01 1.475031e-01 2.806423e-01 6.698525e-01
[19631] 8.041156e-01 5.736058e-01 3.956001e-01 4.770378e-01 8.330633e-01
[19636] 8.883939e-01 5.095875e-01 9.218990e-01 2.282858e-01 3.602534e-01
[19641] 8.449928e-01 7.459685e-01 3.416986e-01 9.936020e-01 8.982642e-01
[19646] 8.256094e-01 6.936164e-01 1.034398e-01 2.619450e-02 9.850933e-01
[19651] 4.348782e-01 9.427391e-01 4.314531e-01 5.955878e-01 2.476713e-02
[19656] 3.128874e-01 7.471127e-01 2.198822e-01 3.582055e-01 3.887935e-01
[19661] 1.535837e-01 8.986047e-01 9.046200e-01 2.110854e-01 1.688098e-01
[19666] 4.513458e-01 4.079875e-01 6.745806e-01 7.054263e-01 5.989679e-01
[19671] 5.563339e-01 6.932634e-01 3.531249e-01 7.930340e-01 8.933153e-01
[19676] 5.068748e-01 6.562908e-02 2.510277e-02 9.761240e-01 5.176804e-02
[19681] 1.598514e-01 9.779183e-01 1.309566e-01 3.791006e-01 9.593104e-01
[19686] 8.644683e-01 7.343819e-01 5.011132e-02 9.682687e-02 5.963828e-01
[19691] 7.609334e-01 7.798434e-01 7.659904e-01 7.580069e-01 2.101094e-01
[19696] 4.001446e-01 5.844967e-03 7.150301e-01 8.179582e-01 6.659908e-01
[19701] 7.904938e-01 5.533517e-01 5.891956e-01 1.869414e-01 6.064266e-01
[19706] 3.300236e-01 8.271630e-01 3.992042e-01 5.346707e-01 1.169852e-01
[19711] 7.456802e-01 6.284630e-01 6.259826e-01 3.102545e-01 1.759683e-01
[19716] 2.722312e-01 6.740490e-01 7.977104e-01 6.533811e-01 1.019243e-01
[19721] 9.728418e-01 5.976427e-01 5.720069e-01 8.835159e-01 4.398848e-01
[19726] 3.210283e-01 6.894820e-01 6.183561e-01 2.484734e-01 5.338862e-01
[19731] 6.128892e-01 7.264802e-01 4.822340e-01 5.083797e-03 5.037681e-01
[19736] 5.911287e-01 2.812540e-01 3.182134e-01 3.831140e-02 4.583619e-01
[19741] 8.972177e-01 3.340605e-01 9.209897e-01 1.886628e-01 2.349747e-01
[19746] 6.921827e-01 1.689810e-01 3.653279e-01 8.434767e-01 2.830970e-02
[19751] 6.649040e-01 2.320818e-01 2.151259e-01 8.260578e-01 5.467323e-01
[19756] 8.108012e-02 2.153558e-01 6.423526e-01 3.417843e-01 8.644237e-01
[19761] 3.950360e-01 6.574896e-01 7.736357e-01 2.913331e-01 6.939052e-01
[19766] 8.127048e-03 9.283935e-01 7.397846e-01 9.765033e-01 5.393244e-01
[19771] 5.929483e-01 6.600068e-01 1.027913e-01 2.298005e-01 5.957848e-01
[19776] 3.919894e-01 7.383628e-02 4.549645e-01 7.677461e-02 8.066909e-01
[19781] 7.634174e-01 9.220300e-01 3.723346e-01 9.130057e-01 4.837152e-01
[19786] 7.390623e-01 3.860033e-01 5.028010e-01 9.273651e-01 4.616112e-01
[19791] 8.890652e-01 4.741997e-01 9.290338e-01 4.238665e-02 9.642673e-01
[19796] 5.484392e-01 2.180932e-02 4.761202e-01 9.300898e-01 5.399275e-01
[19801] 2.645781e-01 2.606155e-01 1.313195e-01 5.122961e-01 8.524312e-01
[19806] 6.015876e-01 3.564394e-01 6.507137e-01 6.677281e-01 9.341480e-01
[19811] 5.246624e-01 7.770639e-01 8.959794e-01 2.974053e-01 2.543861e-01
[19816] 4.043257e-01 8.633035e-01 2.541134e-03 3.661930e-01 7.171673e-01
[19821] 4.380507e-01 3.399578e-02 8.257476e-01 5.377468e-01 1.102452e-01
[19826] 9.690055e-01 2.100198e-01 1.387825e-01 4.924025e-01 4.810276e-01
[19831] 4.302963e-01 4.742875e-01 2.446411e-01 8.545313e-02 3.156413e-01
[19836] 8.835468e-01 8.308228e-01 6.441836e-01 9.509278e-04 1.987791e-02
[19841] 7.758558e-01 6.685548e-01 8.599933e-01 8.226865e-01 7.811952e-01
[19846] 9.615270e-01 6.800259e-01 2.329108e-01 3.359306e-01 6.506128e-02
[19851] 1.796055e-01 9.075056e-01 3.210814e-01 3.821040e-01 4.376686e-01
[19856] 5.596364e-01 5.958430e-01 5.801831e-01 8.258209e-01 5.389648e-01
[19861] 6.825471e-02 5.364378e-01 3.854749e-01 2.997266e-01 5.011923e-01
[19866] 9.517988e-01 2.535211e-01 9.124574e-01 3.351498e-01 7.746188e-01
[19871] 6.932595e-01 8.979682e-01 1.982000e-01 4.721228e-01 8.703044e-01
[19876] 4.738500e-01 9.742136e-01 8.598413e-01 4.419111e-01 4.261663e-01
[19881] 8.933606e-01 6.893143e-01 6.512612e-01 3.736689e-01 9.066514e-01
[19886] 6.268367e-01 9.893550e-01 9.028649e-02 7.673153e-01 6.403871e-01
[19891] 7.468116e-01 4.857263e-01 3.488010e-01 6.732256e-01 6.110567e-01
[19896] 6.292007e-01 6.982867e-02 7.203801e-01 5.011633e-02 7.662483e-02
[19901] 6.058830e-01 5.700146e-01 9.462767e-01 2.860563e-01 7.987601e-01
[19906] 1.871477e-01 6.662868e-01 2.123817e-01 6.506031e-01 7.417883e-01
[19911] 3.204220e-01 9.846257e-01 5.996001e-01 1.398307e-01 2.396385e-01
[19916] 7.072465e-03 7.437534e-01 8.975349e-01 5.168612e-01 1.291183e-01
[19921] 5.669399e-01 6.426955e-01 7.296444e-01 9.423369e-01 2.863697e-01
[19926] 7.986352e-02 1.394049e-01 2.379478e-01 3.084569e-01 5.513371e-01
[19931] 4.552133e-01 9.330896e-01 6.886767e-01 6.496451e-01 8.207314e-02
[19936] 6.280709e-01 1.378594e-01 6.917912e-01 3.549611e-01 5.105166e-01
[19941] 3.558244e-01 9.139466e-01 3.420690e-01 4.420226e-01 1.431449e-01
[19946] 4.686074e-02 7.908447e-01 7.101724e-01 6.178397e-01 9.469616e-01
[19951] 2.158002e-01 3.733813e-01 9.138094e-01 4.918824e-02 8.168738e-01
[19956] 7.502606e-01 1.413090e-01 8.659878e-01 7.673650e-01 9.850626e-01
[19961] 8.305851e-01 6.324171e-01 8.454653e-01 2.669043e-01 8.537860e-02
[19966] 9.787609e-01 9.237812e-01 7.870562e-01 8.488681e-01 5.236970e-01
[19971] 3.489075e-01 2.552816e-01 5.109110e-01 1.071956e-01 3.912388e-01
[19976] 9.222139e-02 4.654622e-01 3.200430e-01 9.841308e-01 4.945906e-01
[19981] 2.090421e-01 5.841746e-02 1.521207e-01 5.958499e-01 9.704860e-01
[19986] 6.418314e-01 8.133242e-01 2.461837e-01 6.746535e-01 7.763462e-01
[19991] 4.223603e-01 8.554279e-02 3.593072e-01 5.795534e-01 1.248397e-01
[19996] 4.394578e-01 6.186530e-01 5.941092e-01 8.187658e-01 5.122331e-01
[20001] 9.869652e-01 9.081947e-01 8.363913e-01 4.242726e-01 4.847398e-01
[20006] 9.698228e-01 1.307122e-01 9.002425e-01 2.913566e-01 1.185147e-01
[20011] 2.968939e-01 8.720641e-01 7.410444e-01 6.311750e-01 5.234856e-01
[20016] 9.724461e-01 1.719129e-01 8.171336e-01 9.026834e-01 9.400336e-01
[20021] 7.096458e-01 2.912779e-04 1.335735e-02 3.651718e-01 4.749054e-01
[20026] 4.098145e-01 7.834374e-01 9.553325e-01 8.745367e-01 1.239136e-01
[20031] 9.728693e-02 3.278940e-01 5.787814e-01 8.121801e-01 3.708150e-01
[20036] 6.602038e-01 5.402593e-01 3.278031e-01 8.032765e-01 4.671148e-01
[20041] 3.726722e-01 6.293947e-01 8.345337e-02 7.121221e-01 9.278602e-01
[20046] 4.806211e-01 2.626367e-01 8.068754e-01 3.550860e-01 6.979666e-01
[20051] 4.901997e-02 5.746127e-01 1.718193e-01 3.098581e-01 9.797839e-05
[20056] 5.099046e-01 6.314403e-01 2.736372e-01 1.252223e-01 8.786749e-01
[20061] 3.229079e-01 9.810959e-01 7.078374e-01 5.407510e-01 9.593760e-01
[20066] 1.469837e-01 9.281393e-01 9.941426e-01 7.185661e-01 4.267025e-02
[20071] 6.018283e-01 7.510584e-01 1.107329e-01 5.549771e-01 6.998075e-01
[20076] 7.518854e-01 7.680858e-01 6.105133e-01 6.682885e-01 9.283571e-01
[20081] 9.510010e-01 6.948502e-01 1.569482e-01 8.403398e-01 4.359327e-01
[20086] 6.017334e-01 3.295922e-01 5.547721e-01 8.129311e-01 6.784047e-01
[20091] 5.808121e-02 7.167976e-01 9.414258e-01 8.871106e-01 2.711781e-01
[20096] 3.202314e-01 5.411426e-01 7.932384e-01 3.230543e-01 5.397051e-01
[20101] 3.207890e-01 2.197596e-02 7.310342e-01 1.660607e-01 7.614196e-01
[20106] 5.669978e-01 5.252875e-01 4.599904e-01 2.450099e-01 8.058115e-01
[20111] 4.278524e-01 6.425259e-02 3.176721e-01 9.117961e-01 7.353472e-01
[20116] 3.434644e-01 8.072771e-01 1.454334e-01 3.198723e-01 7.958994e-01
[20121] 6.919760e-01 3.787698e-01 1.483049e-01 6.220710e-01 3.886749e-01
[20126] 5.013840e-01 1.142573e-01 8.113148e-01 3.758306e-01 7.669764e-01
[20131] 8.795216e-01 2.690125e-01 1.049909e-01 3.006790e-01 2.414999e-01
[20136] 3.392257e-01 1.248580e-01 3.790903e-01 9.077969e-01 5.680374e-01
[20141] 2.693134e-01 7.406411e-01 4.113809e-01 8.456819e-01 6.346156e-01
[20146] 2.184549e-01 6.528960e-01 1.985966e-01 1.839505e-01 1.471912e-01
[20151] 4.416593e-01 5.709069e-01 9.405815e-01 1.399872e-01 6.094993e-01
[20156] 4.693054e-01 3.779116e-01 7.598730e-01 7.070809e-01 4.983878e-01
[20161] 8.232100e-01 6.305607e-01 5.934216e-01 5.708662e-01 9.320335e-01
[20166] 2.254360e-01 3.021593e-01 9.025000e-01 5.702078e-01 6.566554e-01
[20171] 1.808038e-01 6.926003e-01 8.696112e-01 3.500954e-02 6.310513e-01
[20176] 8.666689e-01 1.604485e-02 1.391424e-01 5.899591e-01 5.565929e-01
[20181] 2.755494e-01 7.286438e-01 4.501747e-01 3.546323e-01 6.922041e-01
[20186] 6.125910e-01 1.407575e-02 2.119420e-01 1.974167e-01 2.236601e-01
[20191] 5.441207e-01 7.045032e-01 9.156536e-01 8.463417e-02 6.692696e-01
[20196] 1.528335e-01 3.868926e-01 4.959328e-01 6.842023e-01 5.837805e-01
[20201] 9.318878e-01 7.740412e-01 1.951080e-01 1.149312e-01 9.498385e-01
[20206] 3.675046e-01 2.534357e-01 6.365746e-01 5.483392e-01 1.929543e-01
[20211] 7.925184e-01 2.322134e-01 3.629580e-01 2.755368e-02 1.114374e-01
[20216] 9.144499e-01 7.294776e-01 3.052010e-01 1.066746e-01 9.994460e-01
[20221] 8.783364e-01 2.372549e-01 5.161430e-02 2.135818e-01 4.170288e-02
[20226] 7.664823e-01 1.824086e-01 3.645659e-01 4.548417e-01 8.184983e-01
[20231] 4.186706e-01 8.964907e-01 3.729453e-01 5.145773e-01 1.342539e-01
[20236] 4.510711e-01 6.249930e-01 4.550682e-01 4.313112e-01 9.355049e-01
[20241] 9.830776e-01 9.377961e-01 7.217516e-01 7.804012e-01 5.919417e-02
[20246] 9.767732e-01 1.725039e-01 4.350369e-01 3.333517e-01 4.551448e-01
[20251] 7.749744e-01 3.163427e-01 9.624887e-01 9.555383e-01 6.186251e-01
[20256] 9.114400e-01 5.327776e-01 1.770724e-01 8.619502e-01 2.522517e-01
[20261] 9.515683e-01 1.024527e-01 8.089168e-02 9.450280e-01 6.501656e-01
[20266] 9.299372e-01 8.432258e-01 4.451009e-01 8.349307e-01 3.038375e-01
[20271] 7.619897e-01 5.720792e-02 7.368354e-01 1.132946e-01 8.115347e-01
[20276] 5.681345e-01 6.483302e-01 3.172654e-02 7.399364e-01 4.722170e-01
[20281] 3.831669e-01 5.663944e-01 2.485944e-02 5.170848e-02 7.853472e-01
[20286] 1.323907e-01 9.098242e-01 6.254770e-01 8.271515e-01 1.081316e-01
[20291] 9.030820e-01 2.567019e-01 6.632382e-01 4.904451e-01 8.939860e-01
[20296] 2.102325e-02 9.338898e-01 7.739735e-01 7.267353e-01 6.452366e-01
[20301] 1.892109e-01 3.130503e-01 3.372192e-03 8.240398e-01 1.178536e-01
[20306] 4.473932e-01 5.473100e-03 5.142208e-02 1.327447e-01 7.266235e-01
[20311] 8.271817e-01 5.773449e-01 2.316011e-02 8.557621e-01 7.348697e-01
[20316] 3.947319e-01 7.855394e-02 8.585214e-01 1.920135e-02 3.710798e-01
[20321] 7.848632e-01 1.670695e-01 4.834952e-01 7.952412e-01 2.337334e-01
[20326] 3.233276e-02 3.544798e-01 4.289964e-01 3.449538e-01 6.539710e-01
[20331] 7.229550e-01 2.469578e-01 5.824883e-03 1.523365e-01 3.349668e-01
[20336] 2.228619e-01 5.810494e-01 1.099840e-01 4.910083e-01 9.431017e-01
[20341] 7.950147e-01 9.305174e-01 6.891151e-02 1.007910e-01 9.176428e-01
[20346] 1.448351e-01 6.775976e-01 1.488495e-01 1.670794e-01 3.177410e-01
[20351] 9.461547e-01 5.656521e-01 3.842419e-01 5.546095e-01 6.087529e-01
[20356] 8.644035e-01 6.781668e-01 8.533465e-01 3.301325e-01 8.547668e-01
[20361] 5.662860e-01 8.855680e-01 3.002273e-01 6.266252e-01 8.013283e-01
[20366] 1.657329e-01 9.605720e-01 9.964368e-01 4.878044e-01 9.746998e-01
[20371] 2.470198e-01 1.530836e-01 8.753624e-01 9.341160e-01 1.700191e-01
[20376] 5.182117e-01 8.535260e-01 7.089199e-01 7.003389e-01 2.176475e-01
[20381] 3.470889e-01 8.064253e-01 2.361802e-01 6.063895e-01 9.182787e-01
[20386] 3.757087e-01 5.710692e-01 4.435782e-01 4.139333e-01 2.427259e-01
[20391] 8.222354e-01 5.164721e-01 4.751834e-01 1.014618e-01 8.339511e-01
[20396] 6.137514e-02 8.269872e-01 1.211088e-01 2.832834e-01 4.071471e-01
[20401] 3.587381e-01 9.946031e-01 3.461656e-01 2.158822e-01 2.106791e-01
[20406] 5.020040e-01 9.684330e-01 8.243253e-02 2.529715e-01 6.528852e-01
[20411] 8.617005e-01 5.973697e-01 7.907871e-01 2.307230e-01 3.271077e-01
[20416] 1.834979e-01 4.318938e-01 7.815812e-01 1.555954e-01 8.555014e-01
[20421] 6.643461e-01 6.915217e-01 7.625355e-03 6.925002e-01 1.373457e-02
[20426] 9.536423e-01 5.266762e-01 7.305543e-01 8.917550e-01 6.151886e-01
[20431] 2.458082e-01 2.883057e-01 6.020826e-01 6.040047e-01 8.293144e-01
[20436] 6.773466e-01 8.283464e-01 9.007077e-01 3.222389e-01 1.507692e-01
[20441] 6.098969e-01 4.111771e-01 7.331911e-01 3.650617e-01 8.703069e-01
[20446] 4.561525e-02 2.679071e-01 1.899881e-01 2.587017e-01 9.681478e-01
[20451] 5.289157e-01 3.651800e-01 5.112786e-01 7.257282e-01 1.434462e-01
[20456] 6.399904e-01 2.484704e-01 2.689772e-01 7.731824e-01 1.040533e-02
[20461] 8.747075e-01 5.379818e-01 9.240510e-01 6.624382e-02 9.282344e-01
[20466] 7.855694e-01 5.949411e-02 8.228976e-01 1.810431e-01 5.611624e-01
[20471] 6.298246e-01 8.342477e-01 2.891438e-03 7.637269e-01 9.212640e-01
[20476] 2.671667e-02 4.649479e-01 6.988562e-01 7.240098e-01 2.879953e-02
[20481] 4.160577e-01 5.090405e-01 9.113198e-01 3.366416e-01 4.346830e-01
[20486] 9.746290e-01 7.089661e-01 3.834222e-01 2.699437e-01 8.033578e-01
[20491] 1.126568e-01 2.264279e-01 3.594494e-01 7.382502e-01 2.280243e-01
[20496] 7.964715e-01 9.783395e-01 1.429025e-01 1.542455e-01 1.448966e-01
[20501] 6.429087e-01 7.724754e-01 7.526947e-01 7.714614e-02 5.687631e-01
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[99991] 2.756329e-01 8.753914e-01 2.310091e-01 9.468999e-02 5.278836e-01
[99996] 1.462621e-03 8.788186e-01 3.841478e-01 8.569795e-02 7.626532e-01
Again, we see that as we take the number of replicated measurements approaching infinity,
par(cex = 2.0, mar = c(5, 4, 4, 2) + 0.3)
f = punif(seq(-1,2,by=0.01), min=0, max=1)
plot(x=seq(-1,2,by=0.01), f, type = "s", main = "Uniform distribution on [0,1]", xlab = "x", ylab = "Cumulative probabilty")
par(cex = 2.0, mar = c(5, 4, 4, 2) + 0.3)
f = dnorm(x=seq(-5,5,by=0.01), mean=0, sd=1)
plot(x=seq(-5,5,by=0.01), f, type = "s", main = "Standard normal density curve", xlab = "x", ylab = "Prob.")
In R, there are similarly standard functions like the binomial and the uniform that are used for the normal distribution:
dnorm(x, mean, sd)
for the density function; pnorm(q, mean, sd)
for the cumulative distribution function; rnorm(n, mean, sd)
for generating random normally distributed samples. We will generate a sample from the standard normal and plot this with histogram as follows:
sample_10 = rnorm(10)
par(cex = 2.0, mar = c(5, 4, 4, 2) + 0.3)
hist(sample_10, main = "Standard normal", xlab = "x", probability=TRUE, ylab = "Density")
sample_100000 = rnorm(100000)
par(cex = 2.0, mar = c(5, 4, 4, 2) + 0.3)
hist(sample_100000, main = "Standard normal", xlab = "x", probability=TRUE, ylab = "Density")
These above demonstrations will be used in the practice quiz on Friday to refresh on the concepts and to start preparing for how to work on the final.
We will next consider how one uses an RMarkdown file to document an analysis, or in our case to use as a worksheet.
knitr
which we have been using in activities to create a mixture of text and chunks of code. knitr
, chunks of code will be executed, and graphs or other results inserted into the final document.knitr
allows you to mix basically any sort of text with code from different programming languages, but we recommend that you use R Markdown
, which mixes Markdown with R. ---
title: "Initial R Markdown document"
author: "Jane Doe"
date: "April 23, 2015"
output: html_document
---
**bold**
, and you make things italics by using underscores, like this _italics_
.
<b>bold</b>
or <i>italics</i>
, where the Markdown equivalent usually simplifies the syntax. * bold with double-asterisks
* italics with underscores
* code-type font with backticks
- bold with double-asterisks
- italics with underscores
- code-type font with backticks
Each will appear as:
within their respective indentation levels.
You can make a numbered list by just using numbers. You can even use the same number over and over if you want:
1. bold with double-asterisks
1. italics with underscores
1. code-type font with backticks
You can make section headers of different sizes by initiating a line with some number of #
symbols:
# Title
## Main section
### Sub-section
#### Sub-sub section
You compile the R Markdown document to an html webpage by clicking the “Knit” button in the upper-left.
You can make a hyperlink like this:
[text to show](http://the-web-page.com)
.
You can include an image file like this: ![caption](http://url/for/file)
If you know how to write equations in LaTeX, you can use $ $
and $$ $$
to insert math equations, inline like $E = mc^2$
and in its own chunk by
$$y = \mu + \sum_{i=1}^p \beta_i x_i + \epsilon$$
The above two examples will render in the output document as \( E=mc^2 \) or
\[ y = \mu + \sum_{i=1}^p \beta_i x_i + \epsilon \]
You can review Markdown syntax by navigating to the “Markdown Quick Reference” under the “Help” field in the toolbar at the top of RStudio.
When processed, the R code will be executed; if they produce figures, the figures will be inserted in the final document.
The main code chunks look like this:
```{r load_data} gapminder <- read.csv("gapminder.csv") ```
```{r chunk_name}
and ```
. When you press the “Knit” button, the R Markdown document is processed by knitr
and a plain Markdown document is produced (as well as, potentially, a set of figure files): the R code is executed and replaced by both the input and the output;
The Markdown and figure documents are then processed by the tool pandoc
, which converts the Markdown file into an html file, with the figures embedded.
There are a variety of options to affect how the code chunks are treated. Here are some examples:
echo=FALSE
to avoid having the code itself shown.results="hide"
to avoid having any results printed.eval=FALSE
to have the code shown but not evaluated.warning=FALSE
and message=FALSE
to hide any warnings or messages produced.fig.height
and fig.width
to control the size of the figures produced (in inches).So you might write:
```{r load_libraries, echo=FALSE, message=FALSE} library("dplyr") library("ggplot2") ```
```{r global_options, echo=FALSE} knitr::opts_chunk$set(fig.path="Figs/", message=FALSE, warning=FALSE, echo=FALSE, results="hide", fig.width=11) ```
fig.path
option defines where the figures will be saved. /
here is really important; without it, the figures would be saved in the standard place but just with names that begin with Figs
.fig.path
to define separate prefixes for the figure file names, like fig.path="Figs/cleaning-"
and fig.path="Figs/analysis-"
.`r
and `
for an in-line code chunk, like so:`r round(some_value, 2)`
.pdf_document
or word_document
in the initial header of the file.If required, this is detailed in an error message.