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 ------------------------------------------------------------------------------------------ DISCLAIMER:\ This e-mail is strictly confidential and is...{{dropped:16}} ______________________________________________ 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.