View source: R/getBootCIalpha.R
getBootCIalpha | R Documentation |
function returning observed Cronbach alpha with bootstrap confidence interval around that value
getBootCIalpha(
dat,
verbose = TRUE,
na.rm = TRUE,
nLT20err = TRUE,
nGT10kerr = TRUE,
bootReps = 1000,
conf = 0.95,
bootCImethod = c("perc", "norm", "basic", "bca")
)
dat |
data, matrix, data frame or tibble and numeric item data as columns |
verbose |
logical, if FALSE switches off messages |
na.rm |
logical which causes function to throw error if there is missing data |
nLT20err |
logical, throws error if length(na.omit(dat)) < 20, otherwise returns NA for CI |
nGT10kerr |
logical, throws error if length(na.omit(dat)) > 10k to prevent very long rusn, override with FALSE |
bootReps |
integer for number of bootstrap replications |
conf |
numeric confidence interval desired as fraction, e.g. .95 |
bootCImethod |
method of deriving bootstrap CI from "perc", "norm", "basic" or "bca" |
list of length 3: obsAlpha, LCLAlpha and UCLAlpha
Started before 5.iv.21
Chris Evans
Other bootstrap CI functions:
getBootCICSC()
,
getBootCICorr()
,
getBootCIgrpMeanDiff()
,
getBootCImean()
Other Chronbach alpha functions:
getChronbachAlpha()
## Not run:
set.seed(12345)
tmpMat <- matrix(rnorm(200), ncol = 10)
tmpDat <- as.data.frame(tmpMat)
tmpTib <- as_tibble(tmpDat)
### all default arguments
getBootCIalpha (tmpMat)
## End(Not run)
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