GroupComparison.fn: Function to calculate the statistics for each Group

In RespirAnalyzer: Analysis Functions of Respiratory Data

Function to calculate the statistics for each Group

Description

function to calculate the statistics for each Group: Number of Samples, mean, standard deviation (SD), standard error (SE), median, confident interval, p-value of ANOVA

Usage

GroupComparison.fn(Data, GroupName, na.rm = TRUE, conf.level = 0.95)

Arguments

Data	vector for response values
GroupName	vector for group names
na.rm	whether to remove value for calculation
conf.level	confidence level

Value

a dataframe for the statistics for each Group. Number of Samples, mean

standard deviation (SD), median, upper and lower bounds of CI, p-value of ANOVA

References

Zhang T, Dong X, Chen C, Wang D, Zhang XD. RespirAnalyzer: an R package for continuous monitoring of respiratory signals.

Examples

data("HqData")
PP_Hq <- HqData
filenames <- row.names(PP_Hq)
q <- -10:10
ClassNames <- c(substr(filenames[1:19], start = 1, stop = 3),
                substr(filenames[20:38], start = 1, stop = 5))
Class <- unique(ClassNames)
Data <- GroupComparison.fn(PP_Hq[,1],ClassNames)
Data

RespirAnalyzer documentation built on July 9, 2023, 7 p.m.