reproducer (version 0.5.2)

CalculateLevel2ExperimentRData: CalculateLevel2ExperimentRData

Description

This function analyses data on r values obtained in the format obtained from the ConstructLevel1ExperimentRData function and finds the r-value for each metric for each experiment.

Usage

CalculateLevel2ExperimentRData(
  Level1Data,
  Groups,
  StudyID,
  ExperimentNames,
  Metrics,
  Type
)

Arguments

Level1Data

a tibble in the format produced by the ConstructLevel1ExperimentRData function which has r-values for each sequence group in a crossover experiment

Groups

This is a list that defines the sequence group labels used in the dataset.

StudyID

This holds an identifer used to identify the origin of the experimental data in the output from this function.

ExperimentNames

This a list of identifiers used to define each experiment in the output from this function.

Metrics

This is a list of of character strings identifying each outcome metric reported in each of the experiments in the set of replicated experiments.

Type

this is a list of character strings specifying for each experiment whether the experiment is a two sequence group '2G' or four sequence group '4G' experiment. return RExp.Table This is a table containing the pooled data variance and the pooled difference variance for the experiment and the value r for the experiment for each metric

Author

Barbara Kitchenham and Lech Madeyski

Examples

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"
# Obtain experimental data from each file and put in wide format
ReshapedData <- ExtractExperimentData(
  KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14TOSEM,
  ExperimentNames = FullExperimentNames, idvar = "ParticipantID",
  timevar = "Period", ConvertToWide = TRUE
)
Lev1Data <- ConstructLevel1ExperimentRData(
  ReshapedData, StudyID, ShortExperimentNames, Groups,
  Metrics, Type, Control
)
CalculateLevel2ExperimentRData(Lev1Data,
  Groups = Groups, StudyID = StudyID,
  ExperimentNames = ShortExperimentNames, Metrics = Metrics, Type = Type
)
# A tibble: 8 x 10
#  StudyID ExpID     N Metric        PooledVar1 PooledVar2 VarProp PooledVar PooledDiffVar    r.Exp
#                                                
# 1 S2      S2E1     24 Comprehension     0.0148     0.0212   0.412    0.0180        0.0248  0.311
# 3 S2      S2E2     22 Comprehension     0.0487     0.0224   0.684    0.0356        0.0534  0.250
# 4 S2      S2E2     22 Modification      0.0445     0.0266   0.626    0.0356        0.0628  0.117
# 5 S2      S2E3     22 Comprehension     0.0353     0.0402   0.467    0.0377        0.105  -0.391
# 6 S2      S2E3     22 Modification      0.0433     0.0414   0.511    0.0424        0.0997 -0.176
# 7 S2      S2E4     18 Comprehension     0.0439     0.0237   0.649    0.0338        0.0355  0.475
# 8 S2      S2E4     18 Modification      0.0322     0.0592   0.353    0.0457        0.0894  0.0222