RStudio Workbook0%

Software Skills ยท Topic 1 of 2

RStudio Workbook

Video coming soon

Theory

The question paper and the project both require you to use statistical software, and RStudio is what this course uses. It is free, and you can install it on your own computer from posit.co in a few minutes.

๐Ÿ“˜ The RStudio Workbook

There is a full interactive workbook covering everything you need: loading a dataset, descriptive statistics, boxplots, tables, histograms, scattergraphs, correlation and regression, t-tests and z-tests โ€” with practice datasets to download and past paper questions worked through.

Open the RStudio Workbook โ†’

Data Booklet Commands

These are the commands given to you in the exam data booklet. You are not expected to memorise them, but you must be able to choose the right one and read its output.

CommandWhat it does
read.csv("file.csv")Loads a dataset into RStudio
attach(file)Makes the column headings usable as variable names
head(file)Shows the first few rows โ€” useful for checking exact heading names
summary(X)Minimum, quartiles, median, mean and maximum
mean(X) sd(X) median(X) IQR(X)Individual descriptive statistics
table(X)Frequency table
table(X, Y)Contingency table for two categorical variables
prop.table(table(X))*100Proportions, shown as percentages
hist(X)Histogram โ€” use it to judge the shape of a distribution
boxplot(X)Boxplot; boxplot(X, Y) compares two sets
plot(X, Y)Scattergraph of two numerical variables
cor(X, Y)Correlation coefficient r
cor.test(X, Y)Correlation hypothesis test โ€” gives r and a p-value
lm(Y ~ X)Fits a regression line; summary(lm(Y ~ X)) adds Rยฒ
t.test(X, Y)Independent t-test comparing two means
t.test(X, Y, paired=TRUE)Paired t-test, for the same subjects measured twice
prop.test(x = c(a, b), n = c(n1, n2))Z-test comparing two proportions
detach(file)Run at the end of a session to clear the heading names

Remember to run your code โ€” Ctrl + Enter, or click Run.