similar to: Help with multiple barplots

I am trying to automate a report that my company does every couple of years for the state of Maine. In the past we have used SPSS to run the data and then used complicated Excel template to make the tables/graphics which we then imported into Word. Since there are 256 tables/graphics for this report, this work flow is a little painful. I would like to automate the process and I think I can do

Dear R users aim Barplot of insect trap catches (y variable trapcatch) at one specific station (variable FiBL_Hecke) from week 1-52 ( x variable week). It works well using the function tapply (sum trapcatch per week, males and females not separated), however, I intend to separate the y variable trapcatch in males and females (variable m_w: m and w) problem I used the function "add" to

Hi, Sibylle, since you write '"mathematically" add', does barplot(rbind(m$trapcatch, w$trapcatch)) do what you want (modulo layout details)? Hth -- Gerrit --------------------------------------------------------------------- Dr. Gerrit Eichner Mathematical Institute, Room 212 gerrit.eichner at math.uni-giessen.de Justus-Liebig-University Giessen Tel:

Dear Gerrit Thanks a lot. "rbind" seems to be the right function. Unfortunately there is a shift in the x-axis (see pdf). There are 52 trapcatch values each, m and w, but m$trapcatch and w$trapcatch are shifted up to x-value 60. The follow-up lines for temp and humidity are fine. Thanks Sibylle setwd("~/Desktop/DatenLogger2017") # am Mac sks trap =

Hello there! I am still struggling with a binomial response over all categorical variables (some of them with 3 levels, most with 2 levels). After initial struggles with glm's (struggle coming from the data, not the actual analysis) I have decided to prefer contingency tables. I have my data such as: response:

Hi, I''m attempting to create a users statistics controller, and have saved up some questions regarding this for this post. So, please comment on any one of them, if not all :-) 1) Is there a library somewhere for doing stats? (e.g. mean, median, sd, skewness..) on an array in rails? 2) What library would you recommend for "publication ready" (i.e. not cheesy) histograms,

Thank for your help I obtained profiles and I found mosaicplot as an interesting alternative. I don't like my solution about legend in profiles graphics: I inserted empty extra columns in order to avoid tue superimposed of legend. #Data N <- matrix(0,3,6) N[1,] <- c(7,7,5,0,4,4) N[2,] <- c(0,0,0,5,5,5) N[3,] <- c(4,4,0,0,3,0) rownames(N) <-

I've been playing around with various table tools, trying to construct a fairly simple cross-tab. It shouldn't be hard, but for some reason it turning out to be (for me). If I want to see how many men and how many women agree with a agree/disagree question (coded 1,0), I can do this: >attach(mydata) >mytable <- table(male, q1.bin) # gender and a binary response variable

Hello, I have a very simple question about "2 barplots in the same graph". It seems quite easy, but I searched google for long time, haven't find solution. For example, I want one graph like: x1=seq(0,2,by=0.3) x2=seq(3,0,by=-0.1) barplot(x1,col="red") barplot(x2,col="green") It means if it's on the same graph, some bars are overlaped. So if the bars are

Hello, I am a beginner with R and I would need some help with doing barplots. My problem is that I would like to include both diffrent colors of the bars and precence/absence of shading lines in the barplots. When reading in the help file about the "col" command it states: col: a vector of colors for the bars or bar components. By default, grey is used if 'height'

I've made a barplot that has several bars. I'd like the bars to be colored according to the type of category they are in. Is there a way to put a conditional into the color parameter in barplot? i.e. if data$category[i] == 1, color the bar red Do I need to generate the coloring sequence before the plot code first? Thanks!! -- View this message in context:

Dear R list, For some reason I am unable to access neither search.r-project.org, nor http://finzi.psych.upenn.edu/ so I cannot search the archives for a possible answer (I Googled for this but didn't find anything). Is it possible to draw barplots using a texture instead of colors, for a black and white printer? TIA, Adrian -- Adrian Dusa Arhiva Romana de Date Sociale Bd. Schitu

I`ve read all the manuals and still couln`t find what is the difference between the stacked and side-by-side barplots ? Could you explain me ? [[alternative HTML version deleted]]

Hi R, I am examining the mean returns 10 days before and 10 days after a event. Now I have several events the corresponding pre and post event 10 day mean returns... something like this Pre_Start Pre_End Pre_Mean Pre_SD Post_Start Post_End Post_Mean Post_SD 1 2002-02-22 2002-03-08 0.004968027

Hello everybody, I frequently have to produce barplots from variables the natural variation of which is far away from zero. A typical range would be, say from -16 to -28. So, the following example should give an "honest" presentation: x<-c(-20,-22,-21,-28) barplot(x,beside=T,ylim=c(-18,-30)) But using anything else but "0" for the first element of ylim leads to strange

Dear All, I am newbie to R, and I wanted to plot a barplots with R and in such a way that It will also show me position which I can plot on the bar line. Here is my code that I am using to plot, > chromosome <- c(40.2, 35.6, 36.1, 29.6, 31, 29.6, 31, 29.4, 28.2, 23, 23, 28.2) >barplot (chromosome, col="purple", xlab="Oryza sativa Chromosomes", border = NA, space =

Hi R newbie here :) I need to plot 3 barplots in the same axis, something like | | _ _ _ | | | _ | | _ | | _ | _ | || | _ | || | _ | || | | | || || | | || || | | || || | -+----------------------------------------- | v1 v2 v3 Is there any documentation describing how to achieve that, and

Hello R gurus, I have a data set from which i have to extract the gender and age matched rows from controls and disease group disease<-paste(rep(c('y','n'),11)) gender<-paste(rep(c('m','f'),11)) mcp<-rnorm(700,1400) age<-rnorm(32,34) dat<-data.frame(disease=disease,sex=gender,Dr_age=age[1:22],MCP=mcp[1:22]) I have other categorical variables also to

Hello! I am experiencing a problem with section 3 of the code below. I want to generate barplots (based on data generated in Sections 1 and 2) in a loop - for each variable in "data" - and save them as .emf files in my current directory. But it's not working - it's printing values to be plotted to the screen but does not print the plots themselves anywhere (and not in the

I am creating a model attempting to predict the probability someone will reoffend after being caught for a crime. There are seven total inputs and I planned on using a logistic regression. I started with a null deviance of 182.91 and ended up with a residual deviance of 83.40 after accounting for different interactions and such. However, I realized after that my code is different from that in