library(model.plot)
Welcome to model.plot
! model.plot
is an R package designed to make it easier to plot, interact with, and interpret your basic model results.
devtools::install_github("harader/model.plot") libary(model.plot)
Let's load some data from the ISLR package and play around
library(ISLR) summary(College)
This looks like an interesting data set about colleges! Let's subset to only private colleges, and run a regression on out of state tuition:
my_model <- lm(Outstate ~ perc.alumni + Grad.Rate + Top10perc + PhD + Terminal, data = College[College$Private == "Yes", ]) # Standard plot plot(my_model)
Cool! Now let's say we want to see all variables, not just where p < .05
plot(my_model, p = 1)
And now a bar plot...
bar_plot(my_model)
And a table...
stat_table(my_model)
And a histogram of residuals...
plot_residuals(my_model)
Woohoo! Happy Plotting!
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