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Pleleminary tasks
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Create QQ plots
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Previously, we described the essentials of R programming and provided quick start guides for importing data into R. Here, we鈥檒l describe how to create quantile-quantile plots in R. QQ plot (or quantile-quantile plot) draws the correlation between a given sample and the normal distribution. A 45-degree reference line is also plotted. QQ plots are used to visually check the normality of the data. Pleleminary tasksLaunch RStudio as described here: Running RStudio and setting up your working directory Prepare your data as described here: Best practices for preparing your data and save it in an external .txt tab or .csv files Import your data into R as described here: Fast reading of data from txt|csv files into R: readr package. Example dataHere, we鈥檒l use the built-in R data set named ToothGrowth. # Store the data in the variable my_data my_data Create QQ plotsThe R base functions qqnorm() and qqplot() can be used to produce quantile-quantile plots: qqnorm(): produces a normal QQ plot of the variable qqline(): adds a reference line qqnorm(my_data$len, pch = 1, frame = FALSE) qqline(my_data$len, col = "steelblue", lwd = 2)
It鈥檚 also possible to use the function qqPlot() [in car package]: library("car") qqPlot(my_data$len)
As all the points fall approximately along this reference line, we can assume normality. Related articles Creating and Saving Graphs in R Scatter Plots Scatter Plot Matrices Box Plots Strip Charts: 1-D scatter Plots Bar Plots Line Plots Pie Charts Dot Charts Plot Group Means and Confidence Intervals Graphical Parameters See also Lattice Graphs ggplot2 Graphs InfosThis analysis has been performed using R statistical software (ver. 3.2.4). Enjoyed this article? I鈥檇 be very grateful if you鈥檇 help it spread by emailing it to a friend, or sharing it on Twitter, Facebook or Linked In.Show me some love with the like buttons below... Thank you and please don't forget to share and comment below!! Avez vous aim茅 cet article? Je vous serais tr猫s reconnaissant si vous aidiez 脿 sa diffusion en l'envoyant par courriel 脿 un ami ou en le partageant sur Twitter, Facebook ou Linked In.Montrez-moi un peu d'amour avec les like ci-dessous ... Merci et n'oubliez pas, s'il vous pla卯t, de partager et de commenter ci-dessous! Recommended for You! 
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