README.md

In wilcoxa/frequencies: Easy Frequency Tables

frequency

The goal of frequency is to provide quick and easy frequency tables from SPSS, SAS and other data files in a format that is familiar to SPSS and SAS users. Frequencies are generated with variable labels and value labels where applicable.

Example

Features

• Easily review an entire dataset with one line of code
• Includes categories included in the label attributes, even if 0 cases exist in the dataset
• Checks for NA and blank cases to review any missing data
• User missing variables can be reported in missing category
• Allows labels for both string and numeric classes
• Suppresses printing of very long tables - defaults to top and bottom cases (can be changed with the "maxrow" option)
• Supports label conventions from both foreign and haven packages

Installation

You can install frequency from GitHub with:

# install.packages("devtools")
devtools::install_github("wilcoxa/frequency")

Example

Using foreign:

library(frequency)
library(foreign)
dat <- read.spss("mydat.sav")

freq(dat) # entire dataset

freq(dat$foo) # only one variable

freq(dat[3:5]) # specific variables

Using haven:

library(frequency)
library(haven)
dat <- read_sav("mydat.sav", user_na = TRUE)

freq(dat)

freq(dat$foo)

freq(dat[3:5])

To automatically open html output:

options(frequency_open_output = TRUE)
freq(dat)

Alternately check interactively at the console:

# produce a list of tables
x <- freq(dat) 
x[1]

Save output:

freq(dat, file = "myfile.html")

wilcoxa/frequencies documentation built on Jan. 22, 2021, 6:40 p.m.