similar to: connecting boxplots

Hii, Is it possible, to use the plot() funktion and the boxplot() funktion together ? I will plot a simple graph and additionally to the graph on certain places boxplots. I have imagined to plot the graph a little bit transparency and show in the same graph on certain places boxplots.... Is it possible to do it in this way ? greetings, johnh -- View this message in context:

Hii, I will save the elements of the vector median<-with(x, tapply(V3, grup, median)). The output of this vector is: 25 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 425 450 475 500 17.8 17.8 17.5 17.8 17.7 17.6 17.7 17.6 17.8 17.7 17.6 17.7 17.8 17.7 17.8 17.8 17.8 17.8 17.7 17.7 Can anybody help me how to do it. I will save it to a text file...

Hii, Can anybody help me, I don't know how to print the "median". Below is my code snipplet... x <-read.table(file="D:/Uni/Diplom/Diplom/Grafiken/R/BATMAN/Kabel/Batman1hop/Standardabweichung__output_30_1_Kabel(30m)_b.txt") png(filename = "D:/Grafiken/R/Standardabweichung/Kopie.png", width = 640, height = 480,pointsize = 12, bg = "white", res =

Hii, I will create boxplots from matrices. I have the following data sets: 5.0 1.78 2.99 2.019 0 10.0 1.79 3.00 1.744 0 15.0 1.78 2.98 1.936 0 20.0 1.78 2.99 1.975 0 25.0 1.73 2.91 3.591 0 30.0 1.79 3.00 1.966 0 35.0 1.79 3.00 2.451 0 40.0 1.79 3.00

Hello, I'd like to produce a ggplot where the order of factors within facets is based on the average of another variable. Here's a reproducible example. My problem is that the factors are ordered similarly in both facets. I would like to have, within each facet of `f1', boxplots for 'x' within each factor `f2', where the boxplots are ordered based on the average of x

Dear R-Users, I have a newbie-question about producing several plots with five variable pairs within in one code (loop). Problem: I define two objects, erveryone has five vectors (columns /variables): dimensionen <- data.frame(meinspss$attr_diff_gesamt, meinspss$finanz_diff_gesamt, meinspss$leist_diff_gesamt, meinspss$soz_diff_gesamt, meinspss$wert_diff_gesamt) gruppe <-

Dear list, How can I add the mean and standard deviation to each of the boxplots using the example provided in the boxplot function? boxplot(len ~ dose, data = ToothGrowth, boxwex = 0.25, at = 1:3 - 0.2, subset = supp == "VC", col = "yellow", main = "Guinea Pigs' Tooth Growth", xlab = "Vitamin C dose mg",

Dear All, I am trying to graph a simple scatter plot where the x axis is year and the y axis is a percentage (percentage of infant death). Instead of plotting the raw data, I want to plot summary statistics such as mean and median. Here is the problem: the value range of y is between 0 and 1, but since infant death is a rare event, the mean and median is very low (something like 5%), which shows

Dear all I would like to superpose some smoothing line through boxplot in ggplot > dput(ad) structure(list(konc.f = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L,

The following script is written by the author of a book on R--Andy Field: You can also download the small datafile, hiccups.dat, from this address: http://www.sagepub.com/dsur/study/articles.htm The script: hiccupsData <- read.delim("Hiccups.dat", header = TRUE) hiccups<-stack(hiccupsData) names(hiccups)<-c("Hiccups","Intervention")

Hi, I'm really struggling with barplot I have a data.frame with 3 columns. The first column represents an "incident" type The second column represents a "month" The third column represents a "time" Code for a sample data.frame incidents <- rep(c('a','b','d','e'), each =25) months <- rep(c(1,2), each =10) times

Dear all, I produced the following graph with ggplot which is almost fine, yet I don't like that the legend for "Means" and "Observations" includes a line, though no line is used in the plot for those two (the line for "Overall Mean" on the other hand is wanted): library(ggplot2) ddf <- data.frame(x = factor(rep(LETTERS[1:2], 5)), y = rnorm(10)) p <-

Hello, This is a pretty simple question, but after spending quite a bit of time looking at "Hmisc" and using Google, I can't find the answer. If I use stat_summary(fun.data="mean_cl_boot") in ggplot to generate 95% confidence intervals, how many bootstrap iterations are preformed by default? Can this be changed? I would at least like to be able to report the number of

Dear List, I am having trouble setting the transparency of a ribbon in ggplot2 and was wondering if anybody had any suggestions so far i have a plot exactly as i want it and i want to add a ribbon connecting the ymax and ymin, whci i do with the following command m10 + stat_summary(geom="ribbon", fun.ymin="min", fun.ymax="max") However the ribbon is a dark grey

Hello i did a stacked barplot using ggplot and R arranged the bars of the items in different orders. i don?t know why. but i want to have the same order in every stacked bar. I used the code data1 <- read.table("N_O_W_MAI.txt", header=TRUE, dec = ",") attach(data1) Teich1<-factor(Teich,levels=c(5,7,9,11,"G") ,ordered=is.ordered(Teich))

Any help with this problem would be greatly appreciated: I need to produce a custom plot i haven't come across in R. Basically, I want to show means, 1st standard deviation and 5th and 95th percentiles visually, using something resembling a boxplot. Is it possible to completely customize a boxplot so that it shows means as the bar (instead of, not as well as medians), standard deviations at

Hi, I've got a browsing problem, I'm searching the error for a long time now so I think betimes it's a bug ;-) For debugging purposes, I've left away everything in the network that's not necessary. There's now only one XP-Prof workstation (domain member) and one samba server (3.0.22, acting as PDC) anymore. Bind9 is the local DNS server; Forward and PTR entries are

Hi I have the result of a linear model "lm98" and I want to plot it to analyse the regression but I'm getting the folowing error message > lm98<-lm(log(U+1)~Bq+Gi+Lv+Tb+Bq:Gi+Bq:Lv+Bq:Tb+Gi:Lv+Gi:Tb+Lv:Bq) > plot(lm98) Error in plot.window(xlim, ylim, log, asp, ...) : need finite ylim values In addition: Warning message: NaNs produced in: sqrt(1 - hii) The

Hi, I'm trying to plot a longitudinal data set, using ggplot and adding some summary info (eg. mean, 1 sd bounds) using geom=ribbon. The summary info is based on a subset of the original data (eg. less an outlier). But I'm having trouble getting the ribbons to show up correctly. It's probably something obvious that I'm missing as a novice at ggplot2, and any help is much

Dear all, I noticed the following behaviour of plot.lm: > fm1 <- lm(time~dist, data=hills, weights=c(0,0,rep(1,33))) > par(mfrow=c(2,2)) > plot(fm1) Warning messages: 1: longer object length is not a multiple of shorter object length in: res/(sd * (1 - hat)) 2: longer object length is not a multiple of shorter object length in: (res/(sd * (1 - hat)))^2 * hat which seems to be