Various Functions to Facilitate Visualization of Data and Analysis
Adding bars to an existing plot.
Add groups of points to a plot
Draw intervals or arrows on plots.
Adjusting the transparency of colors.
Manipulate the transparency in a palette.
Compare distribution of data with normal distribution.
Creates a contour plot with colored background.
Replacing separators (for example, decimal and thousand separators).
Utility function
Draw arrows between different plots.
Utility function
Add error bars to a plot.
Utility function
Return n neighbors around given indices.
Return the value (or the element with the value) closest to zero.
Capitalize first letter of a string.
Retrieve the color scheme for contour plots.
Converts coordinates in current plot region to device positions (in in...
Convert proportions into coordinates of the plot or figure region.
Return the number of decimal places.
Get the figure region as coordinates of the current plot region, or as...
Transform coordinates into proportions of the figure or plot region.
Function for rounding and/or segmenting a range.
Move a vector n elements forward or backward.
Add a gradient legend to a plot.
Sort split by grouping predictor.
Convert device position (inch) to coordinates in current plot region.
Check whether color specifications exists.
Add legend with respect to figure instead of plot region. Allows to mo...
Combine list values as string.
Plot density of distribution in margins of the plot.
Move a vector n elements forward or backward.
Order boxplot stats following a given ordering.
Utility function
Add images to plots.
Creates a colored surface plot from data frame input.
Package plotfunctions: Various Functions to Facilitate Visualization o...
Creates a colored surface plot from data frame input.
Calculate standard error of the mean.
Produce box-and-whisker plot(s) ordered by function such as mean or me...
Sort groups based on a function such as mean value or deviation.
When analyzing data, plots are a helpful tool for visualizing data and interpreting statistical models. This package provides a set of simple tools for building plots incrementally, starting with an empty plot region, and adding bars, data points, regression lines, error bars, gradient legends, density distributions in the margins, and even pictures. The package builds further on R graphics by simply combining functions and settings in order to reduce the amount of code to produce for the user. As a result, the package does not use formula input or special syntax, but can be used in combination with default R plot functions. Note: Most of the functions were part of the package 'itsadug', which is now split in two packages: 1. the package 'itsadug', which contains the core functions for visualizing and evaluating nonlinear regression models, and 2. the package 'plotfunctions', which contains more general plot functions.