March 2019
Beginner to intermediate
448 pages
13h 14m
English
Content preview from R Statistics Cookbook
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How to do it...
We will generate two samples of 10,000 random numbers, the first one via the rnorm function, and the second one using the inverse transformation method.
- Generate two samples of 10000 random numbers:
rnorm_result = data.frame(rnorm = rnorm(10000,0,1))inverse_way = data.frame(inverse = qnorm(runif(10000),0,1))
- We concatenate the two datasets. Note that we are transposing it using the gather function. We need to transpose the data for plotting both histograms later via ggplot:
total_table = cbind(rnorm_result,inverse_way)transp_table = gather(total_table)colnames(transp_table) = c("method","value")
- We will then plot the histogram:
ggplot(transp_table, aes(x=value,fill=method)) + geom_density(alpha=0.25)
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