Comprehensive descriptive statistics using the summarytools package. Provides professional data frame summaries, frequency tables, and descriptive statistics with publication-ready output for clinical research.
Usage
jsummarytools(
data,
analysis_type = "dfsummary",
vars,
group_var = NULL,
weights_var = NULL,
cross_var1 = NULL,
cross_var2 = NULL,
show_labels = TRUE,
show_variable_numbers = FALSE,
show_graphs = TRUE,
show_valid_counts = TRUE,
show_na_counts = TRUE,
round_digits = 2,
max_distinct_values = 10,
include_cumulative = FALSE,
report_missing = TRUE,
transpose_output = FALSE,
stats_to_include = "all",
include_mean = TRUE,
include_median = TRUE,
include_mode = FALSE,
include_sd = TRUE,
include_var = FALSE,
include_range = TRUE,
include_quartiles = TRUE,
include_skewness = FALSE,
include_kurtosis = FALSE,
cross_proportions = "none",
output_style = "grid",
plain_ascii = FALSE,
headings = TRUE,
escape_pipe = TRUE,
bootstrap_css = TRUE,
custom_css = "",
show_interpretation = TRUE
)Arguments
- data
Dataset for descriptive analysis
- analysis_type
Type of summarytools analysis to perform
- vars
Variables for analysis (all variables if empty)
- group_var
Optional grouping variable for stratified analysis
- weights_var
Optional variable containing sample weights
- cross_var1
First variable for cross-tabulation
- cross_var2
Second variable for cross-tabulation
- show_labels
Display variable labels when available
- show_variable_numbers
Display variable numbers in output
- show_graphs
Include histograms and bar charts in dfSummary
- show_valid_counts
Display valid observation counts and proportions
- show_na_counts
Display missing data information
- round_digits
Number of decimal places for numeric output
- max_distinct_values
Maximum number of distinct values to show for categorical variables
- include_cumulative
Include cumulative frequencies in frequency tables
- report_missing
Include missing values in frequency tables
- transpose_output
Transpose descriptive statistics table (variables as rows)
- stats_to_include
Which descriptive statistics to include
- include_mean
Include mean in descriptive statistics
- include_median
Include median in descriptive statistics
- include_mode
Include mode in descriptive statistics
- include_sd
Include standard deviation in descriptive statistics
- include_var
Include variance in descriptive statistics
- include_range
Include min, max, and range in descriptive statistics
- include_quartiles
Include Q1, Q3, and IQR in descriptive statistics
- include_skewness
Include skewness in descriptive statistics
- include_kurtosis
Include kurtosis in descriptive statistics
- cross_proportions
Type of proportions to calculate in cross-tabulation
- output_style
HTML output styling
- plain_ascii
Use plain ASCII instead of HTML formatting
- headings
Include section headings in output
- escape_pipe
Escape pipe characters for markdown compatibility
- bootstrap_css
Include Bootstrap CSS styling in HTML output
- custom_css
Custom CSS styling for HTML output
- show_interpretation
Display interpretation guidance for results
Value
A results object containing:
results$instructions | a html | ||||
results$summary_output | a html | ||||
results$data_summary_table | a table | ||||
results$frequency_table | a table | ||||
results$descriptive_stats | a table | ||||
results$crosstab_output | a html | ||||
results$interpretation | a html |
Tables can be converted to data frames with asDF or as.data.frame. For example:
results$data_summary_table$asDF
as.data.frame(results$data_summary_table)