similar to: Grouped Barplot

Hello, I have little experience with r, so I wonder if someone could help me? I need to plot a diversity measure (Fisher`s alpha) for different sites. I calculated the values using the following commands: Data(BCI) alphaBCI <- fisher.alpha(BCI) I need boxplots showing the data variation between sites. Then I tried: boxplot(as.data.frame(alphaBCI)) However, it does not appear the box plots

Hello Dimitris, I was goggling for some help on Sensitivity vs 1-specificity and saw your link. I hope you can be of help to me in one of the issue that I am facing in generating combo chart(bar chart and plot). I am a novice and have some difficulty in getting this logic correct. I am give a dataset (I am attaching a sample dataset). I am using a barplot() and passing values for

Is there a quick way to make boxplots groups by two variables? By that I mean, that if x axes have values ("A","B","C"), than at each value there would be a few boxplots each for a value of second variable (say ("1","2","3")). Thank You. -- Vadim Kutsyy http://www.kutsyy.com vadim at kutsyy.com The University of

Is there a quick way to make boxplots groups by two variables? By that I mean, that if x axes have values ("A","B","C"), than at each value there would be a few boxplots each for a value of second variable (say ("1","2","3")). Thank You. -- Vadim Kutsyy http://www.kutsyy.com vadim at kutsyy.com The University of

Hello developers folks! First, congratulations for the wonderful work with R. For science, barplots with error bars are very important. We were wondering that is so easy to use the boxplot function: boxplot(Spores~treatment, col=treatment_colors) But there is no such function for barplots with standard deviation or standard error. It becomes a "journey" to plot a simple graph (e.g.

Dear All, I am new to R. I amazed by this software. I have a question regarding boxplot. I have three columns say X, Y,ID (X is time from 0 to 12 hrs, Y is a variable dependent on X) I can plot a simple boxplot if it is just one group. But I have 10 groups and I want to plot all of them in one graphs. Something like multiple boxplots in one graph. I am not in R mailing list please reply to me

I have written a function that contains runs lm() vif() and glm() When the glm() blows up with an error message, I don't get the output from either the lm() or vf() even thought neither lm() nor vif() have any problems . How can I force the function to print sequential results rather than wait for the entire function to complete before listing the functhion's output? Thanks, John

Dear all, I would like to visualise when days are rainy or dry in bar/boxplots. Therefore I've tried to combine raingauge data (boxplots) and percentage of raingauges with 0mm measurements (barplot). See attachment mei2004.pdf (if it came through). I've come this far: barplot(dcp0[monthindex], col="gray", border=NA, axes=F) boxplot(t(dcpn[monthindex,]),

Hi, I have data that looks like this: ASA1 ASA2 C1_C2 C M 9.0225 S S 2.4315 M C 3.4894 M S 4.5282 C M 1.3183 C S 1.3735 S C 1.0488 S M 7.948 M C 4.5827 I need to plot Boxplots for a given ASA1 (either C,S, or M) with respect to C1_C2. However, instead of one boxplot I want to plot

Hello there, In gdata package, read.xls is to be used for reading excel data (from windows). The following is my code:('C:/session/sampledata.xls' is where the file is stored) data1<-read.xls('C:/session/sampledata.xls',sheet=1) and I got the following error message: Error in system(cmd, intern = !verbose) : perl not found Could you please tell me what I have done wrong and

Hi, I have two catagorical vectors like this; x = c(1, 2, 4, 2, 1) y = c(2, 4, 2 ,4, 1) I want to set up a barplot with the catagories 1-4 horizontally and number of occurances vertically for each vector x,y. I've tried boxplot(table(x,y), beside=T) and boxplot(c(x,y), beside=T) among others, but can't get it to work...Any ideas? I'd apppreciate any help

Hi R Users, I am using following R code to plot a "grouped boxplot". I'm hoping if I can add MEAN to these boxplots. Data is copied below and attached as text file. install.packages("ggplot2") library(ggplot2) dta<-read.table("Sample.txt",header=T) attach(dta) p <- ggplot(dta, aes(factor(month), nail)) p + geom_boxplot(aes(fill = factor(trt))) Data: month

Hey everybody, I try to make a graph with two different plots. First I make a boxplot of my data. It is a collection off correlation values of different pictures. For example: 0.23445 pica 0.34456 pica 0.45663 pica 0.98822 picb 0.12223 picc 0.34443 picc etc. Ok, I make this boxplot and I get for every picture the boxes. After this I want to know, how many correlations per picture exist. So I

I am trying to create a barplot displaying the sums of 2 columns of data grouped by a variable. the data is set up like this: "city" "n" "y" <br> mon 100 200 <br> tor 209 300 <br> edm 98 87 <br> mon 20 76 <br> tor 50 96 <br> edm 62 27 <br> the resulting plot should have city as the x-axis, 2 bars per city, 1 representing

This is my first post so hopefully I haven't mucked up the rules. I'm trying to change the default borders in either boxplot or barplot so that, at the request of a journal, all of my figures have the same type of border. I've successfully used par(bty="o") using plot(1:10, bty="o"), but it seems that barplot and boxplot have their own defaults that override

Hello, I am new to R and currently have the following problem: I have successfully loaded my data in R which consists of two numeric columns (LI_F and female) and one character column (Strain). So far I can plot two different set of boxplots for each of the numeric columns plotted by the groups of the character column and the commands look like that: boxplot(LI_F~Strain, ylab="LI_F",

Hi, Is there some alternative to the 'groups' argument in lattice's bwplot function for boxplots? Say in the example below: bwplot(yield ~ site | year, data = barley) you want to have two side by side boxplots per site, corresponding to each year in the barley data frame. Ideally, the space between boxplots of the same site should be smaller than that between boxplots of different

Dear R-core team, I think I found a small inconsistency in the boxplot function. I don't want to post it as a bug since I'm not sure this might be considered as one according to the FAQ --- and this is not a major problem. Don't hesitate to tell me if I'm wrong. If you try to do a boxplot on a matrix and set the "at" argument to some vector different from 1:n, n is the

It is not generally advisable to get too fancy with stat functions in ggplot... things can easily get more complicated than ggplot is ready to handle when it comes to calculations. It is better to create data that corresponds directly to the graphical representations you are mapping them to. Read [1] for more on this philosophy. [1] H. Wickham, Tidy Data, Journal of Statistical Software,

my dataset looked like this in the beginning: >Daten V1 V2 V3 1 Dosis Gewicht Geschlecht 2 0 6.62 m 3 0 6.65 m 4 0 5.78 m 5 0 5.63 m I need box plots for V2 with all combination of V1 and V3, so I deleted the first row, and tried this: boxplot(Daten$V2[Daten$V3=="m"]) but it does not work and I