#Cplot in r how to
#Cplot in r code

Plotfunctions: examples of plot functions in the package the package 'plotfunctions', which contains more general plot functions. We are going to simulate two random normal variables called x and y and use them in almost all the plot examples. At its simplest, plot() function simply plots two vectors against each other. The exact function being called will depend upon the parameters used. the package 'itsadug', which contains the core functions for visualizing and evaluating nonlinear regression models, and 2. Plot function in R The R plot function allows you to create a plot passing two vectors (of the same length), a dataframe, matrix or even other objects, depending on its class or the input type. The plot() function in R isn’t a single defined function but a placeholder for a family of related functions. Note: Most of the functions were part of the package 'itsadug', which is now split in two packages: 1. calculate interquartile range of var1, var2, and var4 columns I am using the cplot() command from the.

#Cplot in r how to

persp(x, y, z) The following examples show how to use this function in practice. R help cplot how to R help cplot software. As a result, the package does not use formula input or special syntax, but can be used in combination with default R plot functions. The easiest way to create a 3D plot in R is to use the persp() function.

#Cplot in r code

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. 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. When analyzing data, plots are a helpful tool for visualizing data and interpreting statistical models. Plotfunctions: Various Functions to Facilitate Visualization of Data and