rankFD (version 0.0.0.2)

rank.two.samples: A function for analyzing two-sample problems

Description

The rank.two.sample() function

Usage

rank.two.samples(formula, data, conf.level = 0.95,
  alternative = c("two.sided", "less", "greater"), rounds = 3,
  method = c("logit", "probit", "normal", "t.app", "permu"),
  plot.simci = FALSE, info = TRUE, wilcoxon = c("asymptotic", "exact"),
  shift.int = TRUE, nperm = 10000)

Arguments

formula

A model formula object. The left hand side contains the response variable and the right hand side contains the factor variables of interest. An interaction term must be specified.

data

A data.frame, list or environment containing the variables in formula. The default option is NULL.

conf.level

A number specifying the confidence level; the default is 0.95.

alternative

Which alternative is considered? One of "two.sided", "less", "greater".

rounds

Value specifying the number of digits the results are rounded to.

method

specifying the method used for calculation of the confidence intervals. One of "logit", "probit", "normal", "t.app" and "permu".

plot.simci

Logical, indicating whether or not confidence intervals should be plotted

info

Logical. info = FALSE suppresses the output of additional information concerning e.g. the interpretation of the test results.

wilcoxon

asymptotic or exact calculation of Wilcoxon test.

shift.int

Logical, indicating whether or not shift effects should be considered.

nperm

Number of permutations used, default is 10000.

Examples

data(Muco)
Muco2 <- subset(Muco, Disease != "OAD")
twosample <- rank.two.samples(HalfTime ~ Disease, data = Muco2, 
   alternative = "greater", method = "probit", wilcoxon="exact")