df <- read.csv(your_data.csv
stringsAsFactors = FALSE)
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26,934 skills indexed with the new KISS metadata standard.
stringsAsFactors = FALSE)
code = 2 (head at end
data = df)`.
data = df) — note the ~` with no LHS.
consider SJ or bcv.
default 3 bandwidths).
nstart = 25): runs algorithm from multiple random starts
not test statistics.
p-values are conservative (too large). Use dgof or ks.test with exact = NULL for discrete distributions.
no other stopping criterion.
convergence check fails — use control = list(scaleOffset = 1) or jitter data.
SSasymp
Type I SS (sequential) are computed — order of terms matters.
contr.poly for ordered.
reserved = FALSE) by default does NOT encode reserved chars (/`
start
`
isdir
result column is a matrix column inside the data frame.
data
not original values. Use as.numeric(levels(f))[f] or as.numeric(as.character(f)).
operates on whole rows. For lists
class table. Convert to data frame with as.data.frame(tbl).
not position. Missing columns get NA.