chisq.theo.bintest: Pearson's Chi-squared test for comparison of response...

In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

Pearson's Chi-squared test for comparison of response probabilities to given values

Description

Performs a Pearson's Chi-squared test for comparing response probabilities (i.e. when the response variable is a binary variable) to given values. The function is in fact a wrapper to the chi-squared test for comparison of proportions to given values on a contingency table.

Usage

chisq.theo.bintest(formula, data, p)

Arguments

formula	a formula of the form a ~ b, where a and b give the data values and corresponding groups, respectively. a can be a numeric vector or a factor, with only two possible values (except NA).
data	an optional data frame containing the variables in the formula formula. By default the variables are taken from environment(formula).
p	theoretical probabilities.

Details

If the response is a 0/1 variable, the probability of the '1' group is tested. In any other cases, the response is transformed into a factor and the probability of the second level is tested.

Value

method.test	a character string giving the name of the test.
data.name	a character string giving the name(s) of the data.
alternative	a character string describing the alternative hypothesis, always two-sided.
estimate	the estimated probabilities.
null.value	the theoretical probabilities.
statistic	test statistics.
parameter	test degrees of freedom.
p.value	p-value of the test.

Author(s)

Maxime HERVE <[e-mail]>

See Also

prop.test, chisq.bin.exp, prop.bin.multcomp

Examples

response <- c(rep(0:1,c(40,60)),rep(0:1,c(55,45)),rep(0:1,c(65,35)))
fact <- gl(3,100,labels=LETTERS[1:3])
p.theo <- c(0.5,0.45,0.2)
chisq.theo.bintest(response~fact,p=p.theo)

RVAideMemoire documentation built on Nov. 6, 2023, 5:07 p.m.