All functions
|
allclose
|
Check whether all elements of array or vector like objects are the same |
beta_ols
|
Get OLS regression coefficients |
combine
|
Semi-general unite to vectorize a function across columns of dataframe |
constants_like
|
Create object of same shape and type as x filled with value c |
count_non_na
|
Count non-NA values in a vector |
ggpie
|
Create a pie chart in ggplot2 |
hayeslib
|
hayeslib: a package to learn about packages. #meta |
linspace
|
Returns evenly spaced numbers. |
logspace
|
Returns numbers evenly spaced in logspace. |
lzy_chr
|
Create character vector without quotes |
lzy_impute
|
Mean impute and optionally add missingness indicator |
mutate_by
|
Mutate by group with less boilerplate |
na_counts
|
Summarize missing data in each column of a dataframe |
num_levels
|
Count the number of unique factor level combinations present in a data frame |
pdf_table
|
Add a nicely formatted table to a PDF knitr from R markdown |
perc
|
Generic to calculate percentages in the same vein as `dplyr::count` |
quad_form
|
Calculate the value of a quadratic form |
rand_n_groups
|
Select random groups from a dataframe with NSE |
remove_na
|
Remove all NA values for a vector |
rmse
|
Get the RMSE of a set of predictions |
rmvn_ql
|
Sample efficiently from the MVN parameterized by Q matrix and ell vector |
spread_keep
|
Spread, but keep the key column |
summarize_by
|
Summarize by group with less boilerplate |
t_df
|
Transpose a dataframe |
to_na
|
Set an arbitrary number of elements in a vector to NA |
top_n_groups
|
Select rows in the top n groups according to some summarization operation |
var_plot
|
Plot the variable importance of a ranger object |