calculateBasicStatistics {reproducer} | R Documentation |
calculateBasicStatistics
Description
This function calculates the following statistics for a set of data: length, mean, median, variance, standard error of the mean, and confidence interval bounds. The input data must be a vector of 2 or more numerical values.
Usage
calculateBasicStatistics(x, alpha = 0.05)
Arguments
x |
The data to be summarized |
alpha |
The probability level to be used when constructing the confidence interval bounds. |
Value
A dataframe comprising the length, mean, variance, standard error and confidence limit bounds of the input data x.
Author(s)
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"
ReshapedData <- ExtractExperimentData(
KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14TOSEM,
ExperimentNames = FullExperimentNames, idvar = "ParticipantID",
timevar = "Period", ConvertToWide = TRUE
)
NewTable <- ConstructLevel1ExperimentRData(
ReshapedData, StudyID, ShortExperimentNames, Groups,
Metrics, Type, Control
)
calculateBasicStatistics(NewTable$r)
# N Mean Median Variance SE LowerBound UpperBound
# 1 32 0.06175 0.1688 0.2482 0.08808 -0.1109 0.2344
[Package reproducer version 0.5.3 Index]