Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://cran.r-project.org/web/packages/rms/../ormPlot/../rmarkdown/../predict3d/readme/README.html below:

README

R package predict3d aims to draw predicts plot for various regression models. The main two functions are ggPredict() for 2-dimensional plot and predict3d() for 3-dimensional plot.

You can install predict3d package from CRAN.

You can install the developmental version of predict3d package from github.

You can draw linear regression models. First model has one categorical and one continuous explanatory variables.

You can draw plot for this model. ggPredict() function draws a scatterplot with regression line and shows regression equations parallel to the regression lines.

You can see the live 3d plot at http://rpubs.com/cardiomoon/471347.

The second model has two continuous variables as explanatory variables. You can change the labels and the relative x position and the y position.

You can draw generalized linear models.

You can draw the loess model.

Once you have create a model with predict3d(), you can move your object with your mouse or R codes. For example, You can rotate you object with this R codes.

You can save your 3d plot as a figure file or pdf file.

For more information about package rgl, please read the package vignette at: https://CRAN.R-project.org/package=rgl/vignettes/rgl.html

You can see the following vignettes published on rpubs.com

Drawing the multiple regression models(Part I)

Part II. Transforming variables

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4