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❗ This is a read-only mirror of the CRAN R package repository. table1 — Tables of Descriptive Statistics in HTML. Homepage: https://github.com/benjaminrich/table1 Report bugs for this package: https://github.com/benjaminrich/table1/issues

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table1

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An R package for generating tables of descriptive statistics in HTML.

Installation

To install from CRAN:

install.packages("table1")

To install the latest development version directly from GitHub:

require(devtools)
devtools::install_github("benjaminrich/table1")

Getting Started

An introduction to the package with examples is provided in the vignette.

Example

For this example, we will use data from the Mayo Clinic trial in primary biliary cirrhosis (PBC) of the liver found in the survival package.

require(table1)
require(survival)

dat <- subset(survival::pbc, !is.na(trt))  # Exclude subjects not randomized

dat$trt     <- factor(dat$trt, levels=1:2, labels=c("D-penicillamine", "Placebo"))
dat$sex     <- factor(dat$sex, levels=c("m", "f"), labels=c("Male", "Female"))
dat$stage   <- factor(dat$stage, levels=1:4, labels=paste("Stage", 1:4))
dat$edema   <- factor(dat$edema, levels=c(0, 0.5, 1),
                      labels=c("No edema",
                               "Untreated or successfully treated",
                               "Edema despite diuretic therapy"))
dat$spiders <- as.logical(dat$spiders)
dat$hepato  <- as.logical(dat$hepato)
dat$ascites <- as.logical(dat$ascites)

label(dat$age)      <- "Age (y)"
label(dat$sex)      <- "Sex"
label(dat$stage)    <- "Histologic stage of disease"
label(dat$edema)    <- "Edema status"
label(dat$spiders)  <- "Blood vessel malformations in the skin"
label(dat$hepato)   <- "Presence of hepatomegaly or enlarged liver"
label(dat$ascites)  <- "Presence of ascites"
label(dat$platelet) <- "Platelet count (&times; 10<sup>9</sup> per liter)"
label(dat$protime)  <- "Standardised blood clotting time"
label(dat$albumin)  <- "Serum albumin (g/dL)"
label(dat$alk.phos) <- "Alkaline phosphotase (U/L)"
label(dat$ast)      <- "Aspartate aminotransferase (U/mL)"
label(dat$bili)     <- "Serum bilirubin (mg/dL)"
label(dat$chol)     <- "Serum cholesterol (mg/dL)"
label(dat$copper)   <- "Urine copper (&mu;g/day)"
label(dat$trig)     <- "Triglycerides (mg/dL)"

table1(~ age + sex + stage + edema + spiders + hepato + ascites +
         platelet + protime + albumin + alk.phos + ast + bili + chol +
         copper + trig | trt, data=dat)

Example result: table of descriptive statistics from pbc data

About

❗ This is a read-only mirror of the CRAN R package repository. table1 — Tables of Descriptive Statistics in HTML. Homepage: https://github.com/benjaminrich/table1 Report bugs for this package: https://github.com/benjaminrich/table1/issues

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