Created for statistical analysis, R has a wide array of packages and functions for dealing with large amounts of data. This selection is the tip of the iceberg’s tip:
Packages and Functions for Exploring Databases
| Package | Function | What it does |
didrooRFM |
findRFM() |
Performs a Recency, Frequency, Money analysis on a database of retail transactions |
vcd |
assocstats() |
Calculates statistics for tables of categorical data |
vcd |
assoc() |
Creates a graphic that shows deviations from independence in a table of categorical data |
tidyverse |
glimpse() |
Provides a partial view of a data frame with the columns appearing onscreen as rows |
plotrix |
std.error() |
Calculates the standard error of the mean |
plyr |
inner_join() |
Joins data frames |
lubridate |
wday() |
Returns day of the week of a calendar date |
lubridate |
ymd() |
Returns a date in R date-format |
