README.md

In talgalili/ggparci: Parallel coordinate plot with added confidence interval bands

ggparci

The goal of ggparci is to allow the comparison of several groups across several variables using parallell coordinates plot, while including confidence intervals.

Installation

To install the latest ("cutting-edge") GitHub version run:

# You'll need devtools
install.packages.2 <- function (pkg) if (!require(pkg)) install.packages(pkg);
install.packages.2('devtools')
# make sure you have Rtools installed first! if not, then run:
#install.packages('installr'); install.Rtools()


devtools::install_github("ropensci/plotly") # you will probably benefit from the latest version of plotly
devtools::install_github('talgalili/ggparci')

Example

This is a basic example which shows you how to solve a common problem:

library(ggparci)

ggparci(iris[,-5], iris[,5])
ggparci(normalize(iris[,-5]), iris[,5], ylim = c(0,1))
ggparci(percentize(iris[,-5]), iris[,5], ylim = c(0,1))
ggparci(x = percentize(mtcars[,-10]),group =  factor(mtcars[,10]), ylim = c(0,1))
ggparci(x = percentize(mtcars[,-9]),group =  factor(mtcars[,9]), ylim = c(0,1), lab_group = "automatic\nvs\nmanual")

ggparci(x = percentize(mtcars[,-9]),group =  factor(mtcars[,9]), jitter_median_factor = 0)
ggparci(x = percentize(mtcars[,-9]),group =  factor(mtcars[,9]), jitter_median_factor = 5)

p <- ggparci(x = percentize(mtcars[,-9]),group =  factor(mtcars[,9]), ylim = c(0,1), lab_group = "automatic\nvs\nmanual", flip = TRUE)
library(plotly)
ggplotly(p)

talgalili/ggparci documentation built on May 29, 2019, 9:52 a.m.