Tidyr Cheatsheet

Tidyr Cheat Sheet R
Tidyr Cheat Sheet Pdf

Getting started library(tidyr) tidyr functions fall into five main categories: “Pivotting” which converts between long and wide forms. Tidyr 1.0.0 introduces pivotlonger and pivotwider, replacing the older spread and gather functions. See vignette('pivot') for more details.
The second page of the new Data Import cheat sheet now contains the details for tidyr. Raw.githubusercontent.com data-import.pdf.

libraries.md

Tidyr Cheat Sheet R

R Syntax Comparison:: CHEAT SHEET Even within one syntax, there are o'en variations that are equally valid. As a case study, let’s look at the ggplot2 syntax. Ggplot2 is the plotting package that lives within the tidyverse. If you read down this column, all the code here produces the same graphic. Quickplot ggplot.

Tidyr Cheat Sheet Pdf

R.md

useful.r

# by(data, factorlist, function)

by(pf$friend_count, pf$gender, summary)

# Getting logical

pf$mobile_check_in<-NA

pf$mobile_check_in<- ifelse(pf$mobile_likes>0, 1, 0)

percent_mobile<- sum(pf$mobile_check_in)/length(pf$mobile_check_in) *100

# Getting a sample and analyze it

set.seed(4231)

sample.ids<- sample(levels(yo$id), 16)

# Get 16 samples of the yo$id parameter, we're selecting 16 householders that sells

ggplot(aes(x=time, y=price),

data= subset(yo, id%in%sample.ids)) +

facet_wrap(~id) +

geom_line() +

geom_point(aes(size=all.purchases), pch=1)

# Scatterplot Matrix

install.packages('GGally')

library(GGally)

set.seed(1836) # We'll get a sample of 1000 rows within the total

pf_subset<-pf[ , c(2:15)]

names(pf_subset)

ggpairs(pf_subset[sample.int(nrow(pf_subset), 1000), ])

ggpairs(pf_subset[sample.int(nrow(pf_subset), 1000), ], axisLabels='internal')