ggplot2 > Plot%20basics
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Plot%20basics in ggplot2

Convenient wrapper for creating a number of different types of plots using a consistent calling scheme and then convert them with ggplotly


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Create the plot using data from data.frame

p <-  qplot(mpg, wt, data = mtcars)

plotly::ggplotly(p)

Add coluor parameter

p <-  qplot(mpg, wt, data = mtcars, colour = cyl)

plotly::ggplotly(p)

Add size parameter

p <-  qplot(mpg, wt, data = mtcars, size = cyl)

plotly::ggplotly(p)

Create multiple miltiple plots with facets

p <-  qplot(mpg, wt, data = mtcars, facets = vs ~ am)

plotly::ggplotly(p)

Generate data and colour it using normal and uniform distirbutions

p <-  qplot(1:10, rnorm(10), colour = runif(10))

plotly::ggplotly(p)

Generate data using sequance

p <-  qplot(1:10, letters[1:10])

plotly::ggplotly(p)

Plot residual against fitted data

mod <- lm(mpg ~ wt, data = mtcars)
p <-  qplot(resid(mod), fitted(mod))

plotly::ggplotly(p)

Function that generates squares

f <- function() {
   a <- 1:10
   b <- a ^ 2
   qplot(a, b)
}
p <-  f()

plotly::ggplotly(p)

To set aesthetics, wrap in I()

p <-  qplot(mpg, wt, data = mtcars, colour = I("red"))

plotly::ggplotly(p)

Scatterplot auto-suggest using x,y inputs

qplot will attempt to guess what geom you want depending on the input both x and y supplied = scatterplot

p <-  qplot(mpg, wt, data = mtcars)

plotly::ggplotly(p)

Histogram auto-suggest, using only x input

stat_bin() using bins = 30. Pick better value with binwidth.

p <-  qplot(mpg, data = mtcars)

plotly::ggplotly(p)

Scatterplot auto-suggest only y input

x will be automatically set to seq_along(y)

p <-  qplot(y = mpg, data = mtcars)

plotly::ggplotly(p)

Use different geoms

path

p <-  qplot(mpg, wt, data = mtcars, geom = "path")

plotly::ggplotly(p)

boxplot and jitter

p <-  qplot(factor(cyl), wt, data = mtcars, geom = c("boxplot", "jitter"))

plotly::ggplotly(p)

dotplot

Bin width defaults to 1/30 of the range of the data. Pick better value with binwidth.

p <-  qplot(mpg, data = mtcars, geom = "dotplot")

plotly::ggplotly(p)