The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

splot

An R package to ease data visualization.

The aim of this package is to make visualization an early part of the data analysis process by automating a few common plotting tasks.

In terms of design, it has three general principles:

features

By entering a formula as the first argument in the splot function (e.g., splot(y ~ x)), you can make

For each type, multiple y variables or data at levels of a by variable are shown in the same plot frame,
and data at levels of one or two between variables are shown in separate plot frames, organized in a grid.

resources

installation

Download R from r-project.org.

Release (version 0.5.4)

install.packages("splot")

Development (version 0.5.5)

# install.packages("remotes")
remotes::install_github("miserman/splot")

Then load the package:

library(splot)

examples

Make some data: random group and x variables, and a y variable related to x:

group = rep(c("group 1", "group 2"), 50)
x = rnorm(100)
y = x * .5 + rnorm(100)

The distribution of y:

splot(y)

A scatter plot between y and x:

splot(y ~ x)

Same data with a quadratic model:

splot(y ~ x + x^2 + x^3)

Same data separated by group:

splot(y ~ x * group)

Could also separate by median or standard deviations of x:

splot(y ~ x * x)
splot(y ~ x * x, split = "sd")

Summarize with a bar plot:

splot(y ~ x * group, type = "bar")

Two-level y variable with a probability prediction line:

# make some new data for this example:
# a discrete y variable and related x variable:
y_bin = rep(c(1, 5), 50)
x_con = y_bin * .4 + rnorm(100)

# lines = "prob" for a prediction line from a logistic model:
splot(y_bin ~ x_con, lines = "prob")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.