cat_table: DemoGraphic table for categorical variables

In demoGraphic: Providing Demographic Table with the P-Value, Standardized Mean Difference Value

Description

DemoGraphic table for categorical variables

Usage

cat_table(var, strata, data)

Arguments

var	baseline variables
strata	group variable with 1 = treatment and 0 = control
data	data

Examples

set.seed(2018)
group <-round(abs(rnorm(500)*10),0) %% 2
cont_1 <-round(abs(rnorm(500)*10),0)
cat_multi_1 <-round(abs(rnorm(500)*10),0) %% 3
data_check <-data.frame(group, cont_1, cat_multi_1)
data_check$group <- factor(data_check$group, levels = c(0,1), labels = c("Control","Treatment"))
data_check$cat_multi_1 <- factor(data_check$cat_multi_1)
cat_table("cat_multi_1","group",data_check )

Example output

$demo_table
           Variable    Control  Treatment p value   smd
1 cat_multi_1 n (%)                                    
2                 0 89 (34.77) 73 (29.92)   0.187 0.164
3                 1 92 (35.94) 81 (33.20)              
4                 2 75 (29.30) 90 (36.89)              

$smd_table
     Variable smd.value      smd.lo    smd.up
1 cat_multi_1 0.1643831 -0.01127088 0.3400371

attr(,"class")
[1] "cont_tb"
attr(,"demo")
           Variable    Control  Treatment p value   smd
1 cat_multi_1 n (%)                                    
2                 0 89 (34.77) 73 (29.92)   0.187 0.164
3                 1 92 (35.94) 81 (33.20)              
4                 2 75 (29.30) 90 (36.89)              
attr(,"smd")
     Variable smd.value      smd.lo    smd.up
1 cat_multi_1 0.1643831 -0.01127088 0.3400371

demoGraphic documentation built on May 1, 2019, 7:58 p.m.