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.
- 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
You can install frequency from GitHub with:
# install.packages("devtools")
devtools::install_github("wilcoxa/frequency")
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")