David,
my.boxplot.stats is modified from boxplot.stats (package grDevices) as
follows. x is the original argument, I guess it's the data object for
processing. I only added "type". Thanks.
Jun
=============================================================
> boxplot.stats
function (x, coef = 1.5, do.conf = TRUE, do.out = TRUE)
{
if (coef < 0)
stop("'coef' must not be negative")
nna <- !is.na(x)
n <- sum(nna)
stats <- stats::*fivenum*(x, na.rm = TRUE)
iqr <- diff(stats[c(2, 4)])
if (coef == 0)
do.out <- FALSE
else {
out <- if (!is.na(iqr)) {
x < (stats[2L] - coef * iqr) | x > (stats[4L] + coef *
iqr)
}
else !is.finite(x)
if (any(out[nna], na.rm = TRUE))
stats[c(1, 5)] <- range(x[!out], na.rm = TRUE)
}
conf <- if (do.conf)
stats[3L] + c(-1.58, 1.58) * iqr/sqrt(n)
list(stats = stats, n = n, conf = conf, out = if (do.out) x[out &
nna] else numeric(0L))
}
On Fri, May 7, 2010 at 3:09 PM, David Winsemius wrote:
>
> On May 7, 2010, at 3:30 PM, Jun Shen wrote:
>
> Dear all,
>>
>> I constructed this function called my.boxplot.stats by replacing fivnum()
>> with quantile() in function boxplot.stats(). So I can try different
>> quantile
>> methods in bwplot(). The problem is I couldn't pass different values to
>> the
>> "type" argument to my.boxplot.stats, which in turn is an argument in
>> bwplot(). Now I just have to manually change the "type" value in
>> my.boxplot.stats. What I would like to do is call bwplot() like
>>
>> bwplot(CL~DOSE,data=patab,stats=my.boxplot.stats(type=7)),
>>
>>
> You have defined a function with an argument of x that does not have a
> default value, so it throws an error when you call it with no value for x.
> (It's not complaining about the type argument.)
>
> --
> David.
>
>
> But I got an error:
>> Error in my.boxplot.stats(type = 7) : element 1 is empty;
>> the part of the args list of 'is.na' being evaluated was:
>> (x)
>>
>> Thanks a lot.
>>
>> Jun Shen from Millipore Corporation
>>
>> ========================================================
>> my.boxplot.stats<-function (x, coef = 1.5, *type=6*, do.conf = TRUE,
>> do.out
>> = TRUE)
>> {
>> if (coef < 0)
>> stop("'coef' must not be negative")
>> nna <- !is.na(x)
>> n <- sum(nna)
>> stats <- stats::quantile(x, type=type,na.rm = TRUE)
>> iqr <- diff(stats[c(2, 4)])
>> if (coef == 0)
>> do.out <- FALSE
>> else {
>> out <- if (!is.na(iqr)) {
>> x < (stats[2L] - coef * iqr) | x > (stats[4L] + coef *
>> iqr)
>> }
>> else !is.finite(x)
>> if (any(out[nna], na.rm = TRUE))
>> stats[c(1, 5)] <- range(x[!out], na.rm = TRUE)
>> }
>> conf <- if (do.conf)
>> stats[3L] + c(-1.58, 1.58) * iqr/sqrt(n)
>> list(stats = stats, n = n, conf = conf, out = if (do.out) x[out &
>> nna] else numeric(0L))
>> }
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
> David Winsemius, MD
> West Hartford, CT
>
>
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