R Basics Cheat Sheet



  • Basic vi commands (cheat sheet) By admin. Vi is one of the most commonly used editor program and included by default with every UNIX and linux system. Vi basically operates in 3 modes, namely: vi mode – the mode vi starts in.
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  • In R, and in programming in general, data types are the classifications that we give to different kinds of information pieces. Specifically, R provides the following basic data types: character, numeric, integer, logical, and complex. Each data type is used to represent some type of info - numbers, strings, boolean values, etc.
  • The R Markdown cheatsheet can be accessed from within RStudio by selecting Help Cheatsheets R Markdown Cheat Sheet. Additional Resources. RStudio has published a few in-depth how to articles about using R Markdown.

vi is one of the most commonly used editor program and included by default with every UNIX and linux system. vi basically operates in 3 modes, namely :

  1. vi mode – the mode vi starts in
  2. command mode – you can be in command mode from the vi mode by pressing the key colon (“:”)
  3. input mode – in this mode user starts the actual editing of the text

Below are some of the most commonly used vi commands in all 3 modes of operation.

SheetR basics cheat sheet printable

vi mode commands

CommandAction
kMove one line upwards
lMove one character to the right
hMove one character to the left
wMove one word to the right
WMove one word to the right past punctuation
bMove one word to the left
BMove one word to the left past punctuation
eMove to the end of the current word
1GMove to the beginning of the file
HMove to the top of the current screen
MMove to the middle of the current screen
LMove to the bottom of the current screen
Ctrl-GMove to the last line in the file
Ctrl-FMove one screen towards the end of the file
Ctrl-DMove 1/2 screen towards the end of the file
Ctrl-BMove one screen towards the beginning of the file
Ctrl-UMove 1/2 screen towards the beginning of the file
Ctrl-LRefresh the screen
5GMove to line 5 of the file (5 can be any line number)
/stringFind text string forward
?stringFind text string backward
nFind forward next string instance after a string search
NFind backward next string instance after a string search
ZZSave the file exit vi
xDelete the character at the cursor
XDelete the character behind the cursor
ddDelete the line the cursor is on
10ddDelete the 10 lines following the cursor
yyYank the current line
pPut the yanked line below the current line
PPut the yanked line above the current line

Barplot: Makes a bar plot. Jitter: Adds a small value to data (so points don’t overlap on a plot). Rug: Adds a rugplot to an already-made plot. Polygon: Adds a shape to an already-made plot. Points: Adds a scatterplot to an already-made plot. Mtext: Adds text on the edges of an already-made plot.

Command mode commands

CommandAction
:g/X/s//x/gGlobal Search and replace (X=search object x=replace object)
:r fileImport a file into the current file
:34 r fileImport a file into the current file after line 34
:wWrite out the file to save changes
:w fileWrite the file to named file
:wqSave the file exit vi
:w!Force save the file
:q!Quit vi but don’t save changes

Input mode commands

CommandAction
aInsert characters to the right of the cursor
AAppend characters to the current line
iInsert characters to the left of cursor
IInsert characters at the beginning of the current line
oAdd a new line after current line
OInsert a new line above the current line

I reproduce some of the plots from Rstudio’s ggplot2 cheat sheet using Base R graphics. I didn’t try to pretty up these plots, but you should.

I use this dataset

The main functions that I generally use for plotting are

  • Plotting Functions
    • plot: Makes scatterplots, line plots, among other plots.
    • lines: Adds lines to an already-made plot.
    • par: Change plotting options.
    • hist: Makes a histogram.
    • boxplot: Makes a boxplot.
    • text: Adds text to an already-made plot.
    • legend: Adds a legend to an already-made plot.
    • mosaicplot: Makes a mosaic plot.
    • barplot: Makes a bar plot.
    • jitter: Adds a small value to data (so points don’t overlap on a plot).
    • rug: Adds a rugplot to an already-made plot.
    • polygon: Adds a shape to an already-made plot.
    • points: Adds a scatterplot to an already-made plot.
    • mtext: Adds text on the edges of an already-made plot.
  • Sometimes needed to transform data (or make new data) to make appropriate plots:
    • table: Builds frequency and two-way tables.
    • density: Calculates the density.
    • loess: Calculates a smooth line.
    • predict: Predicts new values based on a model.

All of the plotting functions have arguments that control the way the plot looks. You should read about these arguments. In particular, read carefully the help page ?plot.default. Useful ones are:

  • main: This controls the title.
  • xlab, ylab: These control the x and y axis labels.
  • col: This will control the color of the lines/points/areas.
  • cex: This will control the size of points.
  • pch: The type of point (circle, dot, triangle, etc…)
  • lwd: Line width.
  • lty: Line type (solid, dashed, dotted, etc…).

Discrete

Barplot

Different type of bar plot

Continuous X, Continuous Y

Scatterplot

Jitter points to account for overlaying points.

Add a rug plot

Add a Loess Smoother

R Basics Cheat SheetSheet

Loess smoother with upper and lower 95% confidence bands

Loess smoother with upper and lower 95% confidence bands and that fancy shading from ggplot2.

Add text to a plot

Discrete X, Discrete Y

Mosaic Plot

Color code a scatterplot by a categorical variable and add a legend.

par sets the graphics options, where mfrow is the parameter controling the facets.

R Basics Cheat Sheet Printable

The first line sets the new options and saves the old options in the list old_options. The last line reinstates the old options.

Basic R Commands Cheat Sheet

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