reproducer (version 0.4.0)

calculateGroupSummaryStatistics: calculateGroupSummaryStatistics

Description

This function calculates the following statistics data within groups: length, mean, median, variance, standard error of the mean, and confidence interval bounds.

Usage

calculateGroupSummaryStatistics(x, Group)

Arguments

x

The data to be summarized. This must be a vector of 2 or more numerical values

Group

The categorical data data defining the groups. This must vector of the same length as x containing factors specifying the data groups

Value

A dataframe comprising the number, mean, variance, standard error and confidence limit bounds of the data in each category

Examples

# NOT RUN {
ShortExperimentNames=c("E1","E2","E3","E4")
FullExperimentNames=c("EUBAS","R1UCLM","R2UCLM","R3UCLM")
Metrics=c("Comprehension","Modification")
Groups=c("A","B","C","D")
Type=c(rep("4G",4))
StudyID="S2"
Control="SC"
ReshapedData= ExtractExperimentData(
  KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14TOSEM,
  ExperimentNames=FullExperimentNames, idvar="ParticipantID",timevar="Period",
  ConvertToWide=TRUE
)
NewTable= ConstructLevel1ExperimentRData(ReshapedData, StudyID,
  ShortExperimentNames, Groups, Metrics, Type, Control
)
SeqGroupLev=NULL
N.NT=length(NewTable$r)
for (i in 1:N.NT) {
	if (NewTable$n[i]<=8) SeqGroupLev[i]=as.character(NewTable$n[i])
	if (NewTable$n[i]>8) SeqGroupLev[i]=as.character(9)
 }
 calculateGroupSummaryStatistics(NewTable$r,Group=SeqGroupLev)
#     N    Mean  Median Variance  StDev     SE
#  1  4 -0.0833 -0.1699   0.2314 0.4810 0.2405
#  2 12  0.3658  0.4477   0.2109 0.4592 0.1326
#  3 16 -0.1300 -0.2214   0.1933 0.4397 0.1099
# }