Package index

Describe and explore

First look at variables and at the dataset as a whole.

jdesc()

Descriptive statistics for one or more variables

jfreq()

SPSS-like frequency tables for categorical variables

jscreen()

Data screening overview

Tests and models

Group comparisons, association, and regression.

jt()

Independent samples or paired samples t-test

jaov()

One-way ANOVA (traditional or Welch method)

jcrosstab()

Cross-tabulation with optional chi-square test of independence

jcorr()

Bivariate correlation matrix with p values and pairwise N

jlm()

SPSS-like linear regression output with standardized coefficients

jlogistic()

Logistic regression with SPSS-style output

Scales and reliability

Build scale scores and check internal consistency.

jalpha()

Cronbach's Alpha Reliability Analysis

jsum()

Compute a row-wise sum across multiple variables

javg()

Compute a row-wise mean across multiple variables

Prepare and manage your data

Recode, encode text, relabel, declare missing values, and select cases.

jrecode()

Recode a variable with explicit value mapping and optional labels

jencode()

Encode a text or factor variable as labelled numbers

jrelabel()

Apply variable and value labels to a variable

jdeclare_missing()

Declare missing values on one or more variables

jsubset()

Set, activate, deactivate, or clear a per-dataset case-selection expression

jcomplete()

Set a listwise complete-case filter for matching N across analyses

jcopy()

Copy a data frame, carrying its classification registrations

Open, save, and convert files

Read and write SPSS, Stata, SAS, Excel, and CSV data.

jload()

Load a data file into R

jsave()

Save a data frame to a file

jconvert()

Convert missing-value declarations between formats

jdata_dir()

Return the configured data folder

Set up your session

Defaults and options for a working session, plus keeping your installed copy current.

juse()

Set or display the default data frame for jstats functions

joptions()

Set or display session-level package options

joutput()

Set session-level output verbosity

jupdate()

Update jstats to the latest version

jai()

Print the jstats orientation, or install it for an AI assistant

Plots

jplot()

Visualize jst_* result objects or plot variables directly from a data frame

Fine-tuning: tell jstats how to treat a variable

Override how a variable is classified for analysis. Most users will not need these.

jnumeric()

Register variables as numeric for analysis

jdummy()

Register categorical variables for dummy coding in regression

jcount()

Register variables as counts for analysis

jlikert()

Register variables as Likert (ordered response) items

Datasets

The practice datasets that ship with the package.

community

Community survey example dataset

clinic

Clinic intervention example dataset