Launch 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.
Here, we’ll use the R built-in mtcars data set.
# Create my_data my_data <- mtcars # Print the first 6 rows head(my_data, 6)
## mpg cyl disp hp drat wt qsec vs am gear carb ## Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4 ## Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4 ## Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1 ## Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1 ## Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2 ## Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1
The R base function plot() can be used to create graphs.
plot(x = my_data$wt, y = my_data$mpg, pch = 16, frame = FALSE, xlab = "wt", ylab = "mpg", col = "#2E9FDF")
If you are working with RStudio, the plot can be exported from menu in plot panel (lower right-pannel).
Plots panel –> Export –> Save as Image or Save as PDF
It’s also possible to save the graph using R codes as follow:
- Specify files to save your image using a function such as jpeg(), png(), svg() or pdf(). Additional argument indicating the width and the height of the image can be also used.
- Create the plot
- Close the file with dev.off()
# Open a pdf file pdf("rplot.pdf") # 2. Create a plot plot(x = my_data$wt, y = my_data$mpg, pch = 16, frame = FALSE, xlab = "wt", ylab = "mpg", col = "#2E9FDF") # Close the pdf file dev.off()
Or use this:
# 1. Open jpeg file jpeg("rplot.jpg", width = 350, height = "350") # 2. Create the plot plot(x = my_data$wt, y = my_data$mpg, pch = 16, frame = FALSE, xlab = "wt", ylab = "mpg", col = "#2E9FDF") # 3. Close the file dev.off()
The R code above, saves the file in the current working directory.
File formats for exporting plots:
- pdf(“rplot.pdf”): pdf file
- png(“rplot.png”): png file
- jpeg(“rplot.jpg”): jpeg file
- postscript(“rplot.ps”): postscript file
- bmp(“rplot.bmp”): bmp file
- win.metafile(“rplot.wmf”): windows metafile
This analysis has been performed using R statistical software (ver. 3.2.4).
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