Univariate analysis |
|
---|---|
Describe numeric variables |
|
Tabulate percentiles for numeric variables |
|
Describe categorical variables |
|
Tabulate frequencies |
|
Bivariate analysis |
|
Crosstab variables |
|
Compute t-tests |
|
Compute one-way ANOVAs |
|
Compute correlation coefficients |
|
Create correlation matrix |
|
Compute linear regression |
|
Data modification |
|
Add index |
|
Reverse numeric, logical, or date/time continuous variables |
|
Rescale numeric continuous variables to new minimum/maximum boundaries |
|
Center numeric, continuous variables |
|
Z-standardize numeric, continuous variables |
|
Categorize numeric variables into categories |
|
Convert categorical variables to dummy variables |
|
Set specified values to NA in selected variables or entire data frame |
|
Recode one or more categorical variables into new categories |
|
Reliability tests |
|
Get reliability estimates of index variables |
|
Intercoder reliability |
|
Perform an intercoder reliability test |
|
Visualization |
|
Visualize tidycomm output |
|
Colorbrewer-inspired design with focus on LMU (lmu.de) green |
|
Gray design |
|
Grey design |
|
Sample data |
|
Worlds of Journalism sample data |
|
Facebook posts reliability test |
|
SNS Comments data |
|
Incivil Comments Data |