R functions (P)

The list of new R functions introduced in this Predictive factors lab component are below:

Function_name	Package_name	Use
aggregate	base/stats	To see summary by groups, e.g., by gender
anova	base/stats	To compare models
auc	pROC	To compute the AUC (area under the ROC curve) value
BrierScore	DescTools	To calculate the Brier score
coef	base/stats	To see the coefficients of a fitted model
cor	base/stats	To see the correlation between numeric variables
corrplot	corrplot	To visualize a correlation matrix
createDataPartition	caret	To split a dataset into training and testing sets
createFolds	caret	To create k folds based on the outcome variable
crPlots	car	To see partial residual plot
describeBy	psych	To see summary by groups, e.g., by gender
glm	base/stats	To run generalized linear models
group_by	dplyr	To group by variables
hat	base/stats	To return a hat matrix
ifelse	base	To set an condition, e.g., creating a categorical variable from a numerical variable based on a condition
kable	knitr	To create a nice table
layout	base/graphics	To specify plot arrangement
lines	base/graphics	To draw a line graph
lm	base/stats	To fit a linear regression
lowess	base/stats	To smooth a scatter plot
model.matrix	base/stats	To construct a design/model matrix, e.g., a matrix with covariate values
ols_plot_resid_lev	olsrr	To visualize the residuals vs leverage plot
ols_vif_tol	olsrr	To calculate tolerance and variance inflation factor
predict	base/stats	`predict` is a generic function that is used for prediction, e.g., predicting probability of an event from a model
R2	caret	To calculate the R-squared value
RMSE	caret	To calculate the RMSE value
roc	pROC	To build a ROC curve
sample	base	To take/draw random samples with or without replacement
save.image	base	To save an R object
spearman2	Hmisc	To compute the square of Spearman's rank correlation
summarize	dplyr	To see summary
tapply	base	To apply a function over an array, e.g., to see the summary of a variable by gender
train	caret	To fit the model with tuning hyperparameters
trainControl	caret	To tune the hyperparameters, i.e., controlling the parameters to train the model
varclus	Hmisc	We use the `varclus` function to identify collinear predictors with cluster analysis
vif	car	To calculate variance inflation factor
which	base	To see which indices are TRUE