reproducer (version 0.5.3)

ExtractGroupSizeData: ExtractGroupSizeData

Description

This function constructs a table identifying the number of participants in each sequence group for a set of experiments each of which used a crossover design.

Usage

ExtractGroupSizeData(
  ExpDataWide,
  StudyID,
  ShortExperimentNames,
  Type,
  Groups = c("A", "B", "C", "D")
)

Value

A tibble containing the number of participants in each sequence group in each experiment.

Arguments

ExpDataWide

this is a list of tibbles each comprising data from one experiment in its wide format

StudyID

an identifier for the group of related experiments (i.e., a family).

ShortExperimentNames

a list of character strings identifying each experiment.

Type

A list identifying the type of crossover '2G' or '4G' for each experiment in the family

Groups

a list of the terms used to specify sequence groups in the experiments.

Author

Barbara Kitchenham and Lech Madeyski

Examples

ExperimentNames <- c("EUBAS", "R1UCLM", "R2UCLM", "R3UCLM")
ShortExperimentNames <- c("E1", "E2", "E3", "E4")
Metrics <- c("Comprehension", "Modification")
Type <- c("4G", "4G", "4G", "4G")
Groups <- c("A", "B", "C", "D")
StudyID <- "S2"
Control <- "SC"
# Obtain experimental data from a file and put in wide format
dataset2 <- KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14TOSEM
ReshapedData <- ExtractExperimentData(dataset2,
  ExperimentNames = ExperimentNames,
  idvar = "ParticipantID", timevar = "Period", ConvertToWide = TRUE
)
ExtractGroupSizeData(ReshapedData, StudyID, ShortExperimentNames, Type, Groups = Groups)
# A tibble: 16 x 4
#  Study Exp   Group     n
#     
# 1 S2    Exp1  A         6
# 2 S2    Exp1  B         6
# 3 S2    Exp1  C         6
# 4 S2    Exp1  D         6
# 5 S2    Exp2  A         6
# 6 S2    Exp2  B         6
# 7 S2    Exp2  C         5
# 8 S2    Exp2  D         5
# 9 S2    Exp3  A         5
# 10 S2    Exp3  B         5
# 11 S2    Exp3  C         6
# 12 S2    Exp3  D         6
# 13 S2    Exp4  A         5
# 14 S2    Exp4  B         5
# 15 S2    Exp4  C         4
# 16 S2    Exp4  D         4