similar to: Graphically centering confidence interval in barplot

I am using barplot, and barplot2 in the gregmisc bundle, in the following way: barplot2(sort(xtabs(expend / 1000 ~ theme)), col = c(mdg7, mdg8, mdg3, mdg1), horiz = T, las = 1, xlab = "$ '000", plot.grid = T) The problem is that the values of 'theme', which is a factor, are in some cases rather long, so that I would like to wrap/split them at a space once they

I have a file in the following format: Scenario1 Scenario1CIL Scenario1CIU Scenario2 Scenario2CIL Scenario2CIU 60 57 62 45 48 50 110 101 111 51 50 52 120 117 122 64 62 66 192 190 194 79 75 79 where: First column = Scenario1 mean value Second column = Scenario1 Low Confidence Interval Third column = Scenario1 Upper Confidence Interval Fourth column = Scenario2 mean value Fifth column =

I want to obtain a barplot with error bars and a mean plot with error bars with other scale on the left in the same plot. I need help to get the same x axis (centered) when overlay two plots (barplot2 and plotCI (or lineplot.CI) with errorbars), with diferent y axis. I use par (new=T) but the X axis names are not centered with the figures. An example of my data:

R-Users, I am working with gplots (in gregmisc bundle) plotting some posterior probabilities (using barplot2) of harvest bag limits for discrete data (x-axis from 0 to 12, data is counts) and I ran into a couple of questions whose solutions have evaded me. 1) When I create and include the confidence intervals, the lower bound of the confidence intervals for several of the posterior probabilities

I am hoping to get some advise on the following: I am looking for an automatic variable selection procedure to reduce the number of potential predictor variables (~ 50) in a multiple regression model. I would be interested to use the forward stepwise regression using the partial F test. I have looked into possible R-functions but could not find this particular approach. There is a function

I am attempting to develop a multiple regression model using selected model variables that should all be treated as numeric (mostly real) values. However, R considers one specific variable "mass" automatically to be of class "factor", probably because "mass" consists of integer values that are repeated. I now want to force R to treat "mass" as a numeric

Dear R Users, (and dear Marc) First of all many thanks for the answers to my previous questions. I would like to barplot the mean percent change of a variate with it's CI. Bars should start from the zero reference line to height (in barplot2). Is there a way to tweak barplot2, for example, to do that ? I have tried to see what the function was but unlike other functions was not able to

I need to increase the width of the border in a barplot, i checked both barplot, and barplot2, but cant find how to do it. how can I do? thank you john [[alternative HTML version deleted]]

Hello, I try to handle a simple bar-plot, but it turns out to be not as simple as I thought. 1) I have created a .dat-File, e.g. test.dat: DATA DATA-SEM 2.2 0.32 6.2 1.30 12.7 1.61 48.6 3.08 4.1 0.86 4.5 0.32 1.5 1.13 1.2 1.08 The first row is the data represented by bars. The second row deals with the Standard Error of Mean. The lines correspond to time-intervals of experiments. 2) I now

R-Users, Hopefully someone can shed some light on these questions as I had little luck searching the archives (although I probably missed something in my search due to the search phrase). I estimated multinomial probabilities for some count data (number successful offspring) ranging from 0 to 8 (9 possible response categories). I constructed a barplot (using barplot2) and I want to

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 R graphics gurus, Another question about lattice graphics. This time I would like to plot means and confidence intervals by group factor in a lattice graph. I can not find any working lattice examples. Maybe a custom panel function is the answer, but that is a bit beyond me for now. The individual plots within the lattice graph could look like this: # Example with confidence intervals

Hi all, - how can I do a barplot with rotated axis labels? I've seen the example for just a plot in the FAQ, but I'll missing the coordinates to plot my text at the right position beneath the bars. Is there any (easy?) solution? - how can I set the y-axis in a barplot to logarithmic scale? Many thanks in advance! Best Regards Tom --

I have a barplot I have created using barplot2 and I have been able to add points and lines (using the points and lines methods, respectively). I now need to add some polygons (triangles in particular), that I want to be shaded to match bars in the plot. I can get the coordinates of the corners of the triangles, but don't know how to draw the triangles. I know there is the grid.polygon

I want to include missing values in my barplot to get the correct x-axis, for example, x <- c(1,2,3,4, 9) y <- c(2,4,6,8,18) barplot(y) The above looks wrong because the last height in y should be a long way over. So I want to do something like... x <- c(1,2,3,4,5,6,7,8, 9) y <- c(2,4,6,8,0,0,0,0,18) barplot(y) However... I am actually using barplot2 to use the

Hello, The estimate of glm dispersion can be based on the deviance or on the Pearson statistic. I have compared output from R glm() to another statastical package and it appears that R uses the Pearson statistic. I was wondering if it is possible to make use R the deviance instead by modifying the glm(...) function? Thanks for your attention. Kind regards, Robin Smit This e-mail and its

Hi, In plot, axis can be in log format, e.g. plot(*, log="y") Does a similar option exist for barplot ? Thanks Juli -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject

I??ve tried version 1.9.0 barplot with these (and others) example from the help page: tN <- table(Ni <- rpois(100, lambda=5)) r <- barplot(tN, col='gray') I get : <<...OLE_Obj...>> Same example with version 1.8.1 gives the following result: <<...OLE_Obj...>> What is wrong with v.1.9.0? Thanks, Carlos Guevel

Hi all, I am a relatively new R user... trying to put error bars (from SD values) on my data represented with barplot(). But I can't find any function or instruction to do so. Is there an easier way to do this than using segments() as I saw in an example in the R reference manual ? Then, can I define there graphical apparence ? Thanks for help. Regards Olivier BUHARD [[alternative HTML

Hello I am able to extract partial regression coefficients from a fitted model object "model", i.e. model <- lm(var.sel.gkm, weights = count.gkm, data = DATA) summary(model) write.table(model$coef, file = "C:/coef_CO_gkm.txt", row.names = TRUE, col.names = TRUE) I was wondering if anyone could advise me how to extract other object items such as std. error, t-values