On Oct 14, 2010, at 11:07 AM, Christophe Bouffioux wrote:

Hi,

I have tried your proposition, and it works properly on the simulated data, but not on my real data, and I do not see any explanations, this is weird, i have no more ideas to explore the problem

You should:
a) provide the code that you used to call boxplot
b) offer str(sasdata03_a) , .... since summary will often obscure class-related problems
c) consider running:
sasdata03_a$Cat_F <- factor(sasdata03_a$Cat_F) # to get rid of the empty factor level



so here i give some information on my data, nothing special actually,

Christophe

> summary(sasdata03_a)
jaar Cat_F montant_oa nombre_cas montant_i 2006:36854 a :22591 Min. : -112.8 Min. : -5.0 Min. : 33.22 2007:36538 h :22056 1st Qu.: 1465.5 1st Qu.: 104.0 1st Qu.: 37.80 2008:36579 i :21844 Median : 4251.5 Median : 307.0 Median : 50.00 k :21485 Mean : 13400.0 Mean : 557.5 Mean : 1172.17 g :16217 3rd Qu.: 13648.5 3rd Qu.: 748.0 3rd Qu.: 458.67 d : 5778 Max. : 534655.6 Max. : 13492.0 Max. :17306.73
                    (Other):    0
    nombre_i
 Min.   :  1.00
 1st Qu.:  1.00
 Median :  5.00
 Mean   : 44.87
 3rd Qu.: 29.00
 Max.   :689.00

> is.data.frame(sasdata03_a)
[1] TRUE

The code of the function:

boxplot2.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)
    stats[c(1,5)]<- quantile(x, probs=c(0.05, 0.95))
    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 Wed, Oct 13, 2010 at 5:13 PM, David Winsemius <dwinsem...@comcast.net > wrote:

On Oct 13, 2010, at 10:05 AM, Christophe Bouffioux wrote:

Dear R-community,

Using bwplot, how can I put the whiskers at percentile 5 and percentile 95,
in place of the default position coef=1.5??

Using panel=panel.bwstrip, whiskerpos=0.05, from the package agsemisc gives satisfaction, but changes the appearance of my boxplot and works with an old
version of R, what I don’t want, and I didn’t find the option in
box.umbrella parameters

Nope, you won't find it even if you search harder, but you do have a lattice path forward. Just as base function boxplot() does the calculations and then plots with bxp(), by default panel.bwplot sends the data to boxplot.stats, but panel.bwplot also allows you to specify an alternate function that returns plotting parameters differently as long as those conforms to the requirements for structure. You can look at boxplot.stats (it's not that big) and then construct an alternative. The line you would need to alter would be the one starting with: stats<-stats::fivenum(...), since you are changing the values returned by fivenum(). You might get away with just changing stats[1] and stats[5] to your revised specifications, although it has occurred to me that you might get some of those "out" dots inside your whiskers. (Fixing that would not be too hard once you are inside boxplot.stats().

Seemed to work for me with your data (at least the extent of plotting a nice 3 x 2 panel display. All I did was redefine an nboxplot.stats by inserting this line after the line cited above:

stats[c(1,5)]<- quantile(x, probs=c(0.05, 0.95))

and then added an argument ..., stats=nboxplot.stats) inside your panel.bwplot.

--
David.


Many thanks
Christophe

Here is the code:

library(lattice)
ex <- data.frame(v1 = log(abs(rt(180, 3)) + 1),
               v2 = rep(c("2007", "2006", "2005"), 60),
               z  = rep(c("a", "b", "c", "d", "e", "f"), e = 30))

ex2 <- data.frame(v1b = log(abs(rt(18, 3)) + 1),
               v2 = rep(c("2007", "2006", "2005"), 6),
               z  = rep(c("a", "b", "c", "d", "e", "f"), e = 3))
ex3 <- merge(ex, ex2, by=c("v2","z"))
D2007 <- ex3[ex3$z=="d" & ex3$v2==2007, ]
D2006 <- ex3[ex3$z=="d" & ex3$v2==2006, ]
C2007 <- ex3[ex3$z=="c" & ex3$v2==2007, ]


quantile(D2007$v1, probs = c(0.05, 0.95))
quantile(D2006$v1, probs = c(0.05, 0.95))
quantile(C2007$v1, probs = c(0.05, 0.95))

bwplot(v2 ~ v1 | z, data = ex3, layout=c(3,2), X = ex3$v1b,
pch = "|",
par.settings = list(
plot.symbol = list(alpha = 1, col = "transparent",cex = 1,pch = 20)),
panel = function(x, y, ..., X, subscripts){
panel.grid(v = -1, h = 0)
panel.bwplot(x, y, ..., subscripts = subscripts)
X <- X[subscripts]
xmax =max(x)
X <- tapply(X, y, unique)
Y <- tapply(y, y, unique)
tg <- table(y)
panel.points(X, Y, cex=3, pch ="|" , col = "red")
#vcount <- tapply(v1, v2, length)
panel.text((xmax-0.2), (Y-0.15), labels = paste("N=", tg))
})

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and provide commented, minimal, self-contained, reproducible code.

David Winsemius, MD
West Hartford, CT



David Winsemius, MD
West Hartford, CT

______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

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