Data Wrangling In R Cheat Sheet

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Data Wrangling with dplyr and tidyr Cheat Sheet. Tidy Data - A foundation for wrangling in R Tidy data complements R’s vectorized operations. R will automatically preserve observations as you manipulate variables. No other format works as intuitively with R. R data wrangling Cheat Sheet by mitcht - Cheatography.com Created Date: 5341Z. Best torrent client sonarr.

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

Data Wrangling In R Cheat Sheet

Scatterplot

Jitter points to account for overlaying points.

Add a rug plot

Add a Loess Smoother

Data Wrangling In R Cheat Sheet Excel

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

Dplyr

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.

Data Wrangling In R Cheat Sheet Pdf

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

Data Wrangling In R Cheat Sheet Example

This R Markdown site was created with workflowr Screen recording macbook pro.





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