A function to plot confidential interval for such as ‘htest’, ‘glm’ (logistic regression only!) and ‘posthocTGH’ {userfriendlyscience} objects.
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",
...)
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,
...)
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,
...)
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))
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)
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)
library(userfriendlyscience)
x <- posthocTGH(warpbreaks$breaks, warpbreaks$tension)
CIplot(x, las = 1)