Function for making Cross Tables with multiple table styles.
Usage
crosstable(
data,
vars = NULL,
group = NULL,
sty = "nejm",
excl = FALSE,
cont = "mean",
pcat = "chisq",
p_adjust = "none",
showSMD = FALSE
)Arguments
- data
The data as a data frame.
- vars
The variable(s) that will appear as rows in the cross table.
- group
The variable that will appear as columns (groups) in the table.
- sty
.
- excl
Exclude rows with missing values.
- cont
.
- pcat
.
- p_adjust
Method for adjusting p-values for multiple comparisons across variables. Only available with gtsummary table style.
- showSMD
Add a standardized mean difference (SMD) column comparing the groups for each variable — the standard balance diagnostic for matched, weighted, or propensity cohorts. Requires exactly two groups. |SMD| < 0.1 conventionally indicates negligible imbalance.
Value
A results object containing:
results$errorNotice | a html | ||||
results$dataQualityNotice | a html | ||||
results$analysisInfo | a html | ||||
results$subtitle | a preformatted | ||||
results$todo | a html | ||||
results$todo2 | a html | ||||
results$varNameWarnings | a html | ||||
results$tablestyle1 | a html | ||||
results$tablestyle2 | a html | ||||
results$tablestyle3 | a html | ||||
results$tablestyle4 | a html | ||||
results$qvalueExplanation | a html | ||||
results$testInformation | a html | ||||
results$smdTable | a table |
Tables can be converted to data frames with asDF or as.data.frame. For example:
results$smdTable$asDF
as.data.frame(results$smdTable)
Details
Currently implemented features:
Multiple table styles (arsenal, finalfit, gtsummary, NEJM, Lancet, hmisc)
Automatic test selection (chi-square, Fisher's exact, t-test, ANOVA)
Multiple testing correction (Bonferroni, Holm, Benjamini-Hochberg, Benjamini-Yekutieli)
Variable name safety (special characters, spaces)
Data quality validation warnings
Note: Advanced features (pairwise comparisons, effect sizes, residual analysis, correspondence analysis) are planned but not yet available.