[R] Boxplot 5% and 95% quantile instead of 25% and 75%

[Joris Meijerink]

Hi,

I'm new to the whole R-thing as a replacement for Matlab, not disappointed sofar ;)

I found out how to make nice looking boxplots, but i also would like the make a boxplot with 5% and 95% instead of the standard 25 and 75% quantiles.

My csv input looks something like:
LOCATION	FILTER NR	DATE	VALUE	MONTH
Peelhorst01	1	14-Jan-94	23.07	1
Peelhorst01	1	28-Jan-94	23.68	1
Peelhorst01	1	14-Feb-94	23.38	2
Peelhorst01	1	28-Feb-94	23.27	2
Peelhorst01	1	14-Mar-94	23.25	3
Peelhorst01	1	28-Mar-94	23.69	3
Peelhorst01	1	14-Apr-94	23.63	4
Peelhorst01	1	28-Apr-94	23.3	4
Peelhorst01	1	14-May-94	23.14	5
Peelhorst01	1	28-May-94	23.09	5
Peelhorst01	1	14-Jun-94	23.06	6
Peelhorst01	1	28-Jun-94	22.86	6
Peelhorst01	1	14-Jul-94	22.63	7
Peelhorst01	1	28-Jul-94	22.48	7
Peelhorst01	1	14-Aug-94	22.35	8
Peelhorst01	1	28-Aug-94	22.27	8
Peelhorst01	1	14-Sep-94	22.21	9
Peelhorst01	1	28-Sep-94	22.27	9
Peelhorst01	1	14-Oct-94	22.33	10
Peelhorst01	1	28-Oct-94	22.28	10
Peelhorst01	1	14-Nov-94	22.37	11
Peelhorst01	1	28-Nov-94	22.49	11
Peelhorst01	1	14-Dec-94	22.56	12
Peelhorst01	1	28-Dec-94	22.62	12

going on for 13 more years

I used the following to produce a boxplot:
z <- boxplot(VALUE ~ MONTH, data = reeks,
  plot = FALSE
)

Then I replace the numbers of the month in jan, feb etc. with
z$names <- c('jan','feb','mrt','apr','mei','jun','jul','aug','sep','okt','nov','dec')
and make the boxplot with the bxp function.

Now I was thinking of using the same sollution by replacing row 2 and 4 in z$stats with the results of the quantile function for 5% and 95% but to be able to calculate that I need the vectors of only 1 month without the other months. How can i do that, or is there even a better/easier sollution to my problem?

kind regards
Joris

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