The final version with the help of Gabor Grotendieck (thanks Gabor, very much!)
#######################
# EasieR - Package #
#######################
# Common function
er.make.table <- function(x,
start,
end,
h,
right) {
# Absolut frequency
f <- table(cut(x, br=seq(start, end, h), right=right))
# Relative frequency
fr <- f/length(x)
# Relative frequency, %
frP <- 100*(f/length(x))
# Cumulative frequency
fac <- cumsum(f)
# Cumulative frequency, %
facP <<- 100*(cumsum(f/length(x)))
fi <- round(f, 2)
fr <- round(as.numeric(fr), 2)
frP <- round(as.numeric(frP), 2)
fac <- round(as.numeric(fac), 2)
facP <- round(as.numeric(facP),2)
# Make final table
res <- data.frame(fi, fr, frP, fac, facP)
names(res) <- c('Class limits', 'fi', 'fr', 'fr(%)', 'fac', 'fac(%)')
return(res)
}
#With Gabor Grotendieck suggestions (thanks Gabor, very much!)
er.table <- function(x, ...) UseMethod("er.table")
er.table.default <- function(x,
k,
start,
end,
h,
breaks=c('Sturges', 'Scott', 'FD'),
right=FALSE) {
#User define nothing or not 'x' isn't numeric -> stop
stopifnot(is.numeric(x))
#User define only 'x'
#(x, {k, start, end, h}, [breaks, right])
if (missing(k) && missing(start) && missing(end) && missing(h) ){
x <- na.omit(x)
brk <- match.arg(breaks)
switch(brk,
Sturges = k <- nclass.Sturges(x),
Scott = k <- nclass.scott(x),
FD = k <- nclass.FD(x))
tmp <- range(x)
start <- tmp[1] - abs(tmp[2])/100
end <- tmp[2] + abs(tmp[2])/100
R <- end-start
h <- R/k
}
#User define 'x' and 'k'
#(x, k, {start, end, h}, [breaks, right])
else if (missing(start) && missing(end) && missing(h)) {
stopifnot(length(k) >= 1)
x <- na.omit(x)
tmp <- range(x)
start <- tmp[1] - abs(tmp[2])/100
end <- tmp[2] + abs(tmp[2])/100
R <- end-start
h <- R/abs(k)
}
#User define 'x', 'start' and 'end'
#(x, {k,} start, end, {h,} [breaks, right])
else if (missing(k) && missing(h)) {
stopifnot(length(start) >= 1, length(end) >=1)
x <- na.omit(x)
tmp <- range(x)
R <- end-start
k <- sqrt(abs(R))
if (k < 5) k <- 5 #min value of k
h <- R/k
}
#User define 'x', 'start', 'end' and 'h'
#(x, {k,} start, end, h, [breaks, right])
else if (missing(k)) {
stopifnot(length(start) >= 1, length(end) >= 1, length(h) >= 1)
x <- na.omit(x)
}
else stop('Error, please, see the function sintax!')
tbl <- er.make.table(x, start, end, h, right)
return(tbl)
}
er.table.data.frame <- function(df,
k,
breaks=c('Sturges', 'Scott', 'FD'),
right=FALSE) {
stopifnot(is.data.frame(df))
tmpList <- list()
logCol <- sapply(df, is.numeric)
for (i in 1:ncol(df)) {
if (logCol[i]) {
x <- as.matrix(df[ ,i])
x <- na.omit(x)
#User define only x and/or 'breaks'
#(x, {k,}[breaks, right])
if (missing(k)) {
brk <- match.arg(breaks)
switch(brk,
Sturges = k <- nclass.Sturges(x),
Scott = k <- nclass.scott(x),
FD = k <- nclass.FD(x))
tmp <- range(x)
start <- tmp[1] - abs(tmp[2])/100
end <- tmp[2] + abs(tmp[2])/100
R <- end-start
h <- R/k
}
#User define 'x' and 'k'
#(x, k,[breaks, right])
else {
tmp <- range(x)
start <- tmp[1] - abs(tmp[2])/100
end <- tmp[2] + abs(tmp[2])/100
R <- end-start
h <- R/abs(k)
}
tbl <- er.make.table(x, start, end, h, right)
tmpList <- c(tmpList, list(tbl))
}
}
valCol <- logCol[logCol]
names(tmpList) <- names(valCol)
return(tmpList)
}
Best,
--
Jose Claudio Faria
Brasil/Bahia/UESC/DCET
Estatistica Experimental/Prof. Adjunto
mails:
[EMAIL PROTECTED]
[EMAIL PROTECTED]
[EMAIL PROTECTED]
tel: 73-3634.2779
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