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Simple data manipulations in R

Many years ago, I was introduced to R by Cam Webb . At the time, his website contained a list of common data manipulations (original here). This list dated from Cam's early experience with R, and contained the R-help mailing list responses to a series of data manipulations. For a long time, I kept this file as a handy reference. I printed it out. I recommended it to friends.

Now I have been using R for years, and the state of the art has advanced considerably. Particulary, Hadley Wickham's reshape2 and dplyr packages have transformed the way most useRs manipulate their data. I decided that it would be interesting to revisit my favourite resource and try my hand at solving these problems with tools from these two packages.

library(reshape2)
library(dplyr)

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R Cheat Sheet : Applying functions

• R Cheat Sheet : Applying functions
  • apply(x,index,function)
  • lapply(x,function)
  • sapply(x,function)
  • tapply(x,y,function)
  • mapply(function,x,y,...)
  • References

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Nowhere near as spectacular as the Upshot/New York Times 3d yield curve by Amanda Cox and Gregor Aisch, but not bad at all for a couple of lines of R code with the plotly htmlwidget.

library(plotly)
library(dplyr)
library(tidyr)
library(purrr)
library(quantmod)
library(magrittr)

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lattice

examples inspired by this book

ggplot2

examples inspired by this book

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```{r}
#packages

library(rvest)
library(tidyverse)
library(magrittr)
library(scales)
library(knitr)
library(lubridate)
```