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Die sim
sim <- vector() heads <-vector() results <- vector() n = 300 for(i in 1:n) { sim[[i]] <- sample(c(1:6), 1, replace = TRUE) heads[[i]] = length(sim[sim=="1"]) results[[i]] <- heads[[i]]/i } #the plot plot(c(1:n), results[1:n], ylim = c(0,1), pch=16,cex=0.75, col = "skyblue", main = "Proportion of 1's", ylab="Proportion", xlab="Number of Die Rolls", yaxt="n") lines(c(1:n), results[1:n], type = "l", col = "skyblue", lwd=4) abline(h=1/6, col = "darkblue") axis(2, at=seq(0,1,1/6), labels=c("0","1/6","2/6","3/6","4/6","5/6","1"))
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Chapter 5: Sample from N(0,1)
Example for barplot
26-08-2020AjusteCurvaLineariza
Correlation
Zerlina L Bi-variate Regression
R1
library(datasets) #Base de datos
sqrt.r
EXP1STATS
Snowflake curve
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