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Table of Contents

DESCRIPTION

A function to plot confidential interval for such as ‘htest’, ‘glm’ (logistic regression only!) and ‘posthocTGH’ {userfriendlyscience} objects.

Usage

‘htest’ object

CIplot(x,
       log = FALSE,
       xlim = NULL, xlab = NULL, main = NULL,
       pch = 21, pcol = "black", pcolbg = "white", pcex = 1,
       cilty = 1, cilwd = 1, cicol = "black",
       v = NULL, vlty = 2, vlwd = 1,  vcol = "black",
       ...)

‘glm’ object (logistic regression only!)

CIplot(x,
       conf.level = 0.95,
       xlim = NULL, xlab = "Odds Ratio",
       main = NULL,
       pch = 21, pcol = "black",
       pcolbg = "white", pcex = 1, cilty = 1, cilwd = 1,
       cicol = "black", vlty = 2, vlwd = 1,  vcol = "black",
       las = NULL,
       ...)

‘posthocTGH’ object (Tukey or Games-Howell method)

CIplot(x,
       xlim = NULL, xlab = "Differences in mean", main = NULL,
       pch = 21, pcol = "black", pcolbg = "white", pcex = 1,
       cilty = 1, cilwd = 1, cicol = "black",
       vlty = 2, vlwd = 1,  vcol = "black",
       las = NULL,
       ...)

Arguments

Examples

‘htest’ object

Difference [log = FALSE (default)]

set.seed(1234)
x <- rnorm(10, 10, 2); y <- rnorm(10, 8, 2)
res <- t.test(x, y)
CIplot(res)

x <- binom.test(20, 100, 0.3)
CIplot(x)

x <- matrix(c(10, 7, 8, 9), 2, 2, byrow = TRUE)
res <- prop.test(x)
CIplot(res)

res <- chisq.test(x)
CIplot(x)                  ## Warning and no plot

set.seed(1234)
x <- cor.test(rnorm(10), rnorm(10))
CIplot(x, xlim = c(-1, 1))

Ratio (log = TRUE)

x <- var.test(1:10, (1:10)*1.5)
CIplot(x, log = TRUE)

x <- matrix(c(10, 7, 8, 9), 2, 2, byrow = TRUE)
res <- fisher.test(x)
CIplot(res, log = TRUE)

library(exact2x2)
x <- mcnemar.exact(dat)
CIplot(x, log = TRUE)

‘glm’ object

library(MASS)
data(birthwt)
x <- glm(low ~  age + lwt + smoke + ptl + ht + ui, data = birthwt,
         family = binomial)
CIplot(x, las = 1)

OR1 <- ORci(x)
CIplot(OR1, las = 1)

‘posthocTGH’ object

library(userfriendlyscience)
x <- posthocTGH(warpbreaks$breaks, warpbreaks$tension)
CIplot(x, las = 1)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.