R functions (Q)

The list of new R functions introduced in this Research question lab component are below:

Function_name	Package_name	Use
as.data.frame	base	To force an object to a data frame
as.formula	base/stats	To specify a model formula, e.g., formula for an outcome model
confint	base/stats	To estimate the confidence interval for model parameters
degf	survey	To see the degrees of freedom for a survey design object
describe	DescTools	To see the summary statistics of variables
exp	base	Exponentials
glm	base/stats	To run generalized linear models
lapply	base	To apply a function over a list, e.g., to see the summary of a list of variables or to convert a list of categorical variables to factor variables. A similar function is `sapply`. lapply and sapply have the same functionality. The main difference is that sapply attempts to convert the result into a vector or matrix, while lapply returns a list.
length	base	To see the length of an object, e.g., number of elements/observations of a variable
plot_missing	DataExplorer	To plot the profile of missing values, e.g., the percentage of missing per variable
publish	Publish	To show/publish regression tables
Reduce	base	To combine multiple objects, e.g., datasets
round	base	To round numeric values
saveRDS	base	To save a single R object. Similarly, readDRS will read an R object
skim	skimr	To see the summary statistics of variables
svydesign	survey	To create a design for the survey data analysis
svyglm	survey	To run design-adjusted generalized linear models
unique	base	To see the number of unique elements
weights	base/stats	To extract model weights, e.g., see the weights from a pre-specified survey design

For more information, visit the resources mentioned earlier.