Learn R Programming

reporttools (version 1.0.2)

tableContinuous: Generate a LaTeX table of descriptive statistics for continuous variables

Description

Many data analyses start with a display of descriptive statistics of important variables. This function takes a list of numeric variables and a possible grouping variable (such as e.g. treatment) and provides a LaTeX table of descriptive statistics separately per group and jointly for all observations, per variable. User-defined statistics can be provided.

Usage

tableContinuous(vars, nams, group = NA, subset = NA, 
     stats = c("n", "min", "q1", "median", "mean", "q3", "max", 
     "s", "iqr", "na"), prec = 1, col.tit = NA, print.pval = 
     c("none", "anova", "kruskal")[1], declare.zero = 10^-10, 
     cap = "", lab = "", disp.cols = NA)

Arguments

vars
A list of continuous variables.
nams
A vector of strings, containing the names corresponding to the variables in vars. These are the names that appear in the LaTeX table.
group
Grouping variable, may be omitted.
subset
Only consider a subset of observations.
stats
Specify which descriptive statistics should be displayed in the table, by either directly providing one or more of the default character strings (in arbitrary order) or a user-defined function. A user-defined function must bear a name, take a vector
prec
Specify number of decimals to be displayed.
col.tit
Specify titles of columns.
print.pval
If print.pval == "anova", a $p$-values for an analysis of variance for a location difference between groups is added to the table. If print.pval == "kruskal" a $p$-value of a Kruskal-Wallis test is given. If group
declare.zero
Computed descriptive statistics (not $p$-values) below that constant are set to 0. Yields nicer tables, especially when displaying centered or standardized variables.
cap
The caption of the resulting LaTeX table.
lab
The label of the resulting LaTeX table.
disp.cols
Only included for backward compatibility. Needs to be a vector built of (some of) the default statistics character strings if not equal to NA. From package version 1.0.2 use of stats is recommended.

Value

  • Outputs the LaTeX table.

References

Rufibach, K. (2009) reporttools: R-Functions to Generate LaTeX Tables of Descriptive Statistics. Journal of Statistical Software, to appear.

Examples

Run this code
set.seed(1977)
vars <- list(c(rnorm(90), NA), rgamma(100, 2, 1))
nams <- c("Var1", "Var2")
group <- sample(c(rep("A", 50), rep("B", 50)))
subset <- c(1:70, 91:100)

## display default statistics
tableContinuous(vars, nams, group, subset, stats = c("n", "min", "q1", "mean", 
    "median", "q3", "max", "iqr", "na"), prec = 1, col.tit = NA, print.pval = 
    "kruskal", cap = "Table of continuous variables.", lab = "tab: descr stat")

## supply user-defined statistics: trimmed mean and IQR as an unbiased estimate 
## of the population standard deviation
my.stats <- list("n", "mean", "$\bar{x}_{trim}$" = function(x){return(mean(x, 
    trim = .05))}, "iqr", "IQR.unbiased" = function(x){return(IQR(x) / 
    (2 * qnorm(3 / 4)))})
tableContinuous(vars, nams, group, subset, stats = my.stats, prec = 1, 
    col.tit = NA, print.pval = "kruskal", cap = "Table of continuous variables.", 
    lab = "tab: descr stat")

## disp.cols can still be used, for backward compatibility
tableContinuous(vars, nams, group, subset, disp.cols = c("n", "min", "median", 
    "max", "iqr", "na"), prec = 1, col.tit = NA, print.pval = "kruskal", 
    cap = "Table of continuous variables.", lab = "tab: descr stat")

Run the code above in your browser using DataLab