pool_t_test: Calculates the pooled t-test and Confidence intervals

In miceafter: Data and Statistical Analyses after Multiple Imputation

Calculates the pooled t-test and Confidence intervals

Description

pool_t_test Calculates the pooled t-test, confidence intervals and p-value.

Usage

pool_t_test(object, conf.level = 0.95, dfcom = NULL, statistic = FALSE)

Arguments

object	An object of class 'mistats' ('Multiply Imputed Statistical Analysis'.)
conf.level	conf.level Confidence level of the confidence intervals.
dfcom	Number of completed-data analysis degrees of freedom. Default number is taken from function cindex.
statistic	if TRUE (default) the test statistic and p-value are provided, if FALSE these are not shown.

Value

An object of class mipool from which the following objects can be extracted:

• Mean diff Difference between means

• SE standard error

• t t-value (for confidence interval)

• low_r lower limit of confidence interval

• high_r upper limit of confidence interval

• statistic test statistic

• pval p-value

Author(s)

Martijn Heymans, 2022

See Also

with.milist, t_test

Examples

 imp_dat <- df2milist(lbpmilr, impvar="Impnr")
 res_stats <- with(data=imp_dat,
  expr = t_test(Pain ~ Gender, var_equal=TRUE, paired=FALSE))
 res <- pool_t_test(res_stats)
 res

miceafter documentation built on Oct. 2, 2022, 5:08 p.m.