similar to: Barplot problem

Hi R Users, I tried plotting a similar boxplot as it is on the FOLLOWING LINK: http://www.imachordata.com/wp-content/uploads/2009/09/boxplot.png Sample data is attached -- there are 9 years and 5 cities. In my case I'm looking to plot "Year" on x-axis and grouping boxplots by "City". I tried the following code. foo<-read.table("SampleData.csv",

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.

I am trying to change this define void @main(float* noalias %arg0, float* noalias %arg1, float* noalias %arg2) { entrypoint: %0 = bitcast float* %arg1 to <4 x float>* intothis define void @main(float* noalias %arg0, float* noalias %arg1, float* noalias %arg2) { entrypoint: %0 = getelementptr float* %arg1, i64 0 %1 = bitcast float* %0 to <4 x float>* I must be close but

Hi all: I get the following error message that I am not able to resolve. Error in if (const(t, min(1e-08, mean(t)/1e+06))) { : missing value where TRUE/FALSE needed It appears right before the last data.frame statement. Below is the program that simulates data from one way random effects model and then computes normality and bootstrap confidence interval for

Please I need some help using R to analyze my data. What I would like to do is to repeat the same basic process (e.g. linear regression between wood density and distance from pith) for at least 240 data subsets within the main data-frame. Within the main data-frame, these data subsets will be defined by three variables namely,  species, individual and core (i.e. 20 species, at least 6

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 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

Hello, I have a question regarding bootstrap confidence intervals. Suppose we have a data set consisting of single measurements, and that the measurements are independent but the distribution is unknown. If we want a confidence interval for the population mean, when should a bootstrap confidence interval be preferred over the elementary t interval? I was hoping the answer would be

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

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

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

Hi: I have a question making side by side boxplot. My response is numeric and I want to make a side by side boxplot of it accroding to a factor vector. So, there are several boxplots on the same plot. Each boxplot is with respect to one level for a factor. The levels of the factor are some characters. When I make the plot, the boxplots are arranged according to the alphabetic order of the

Dear all, Using: library(vegan) data(BCI) mod <- radfit(BCI[1,]) mod RAD models, family poisson No. of species 93, total abundance 448 par1 par2 par3 Deviance AIC BIC Null 39.5261 315.4362 315.4362 Preemption 0.042797 21.8939 299.8041 302.3367 Lognormal 1.0687 1.0186 25.1528 305.0629 310.1281

Dear all - With the following code I get Boxplots and Stripcharts in one Plot: with(InsectSprays, boxplot(count ~ spray, boxwex = 0.3)) with(InsectSprays, stripchart(count ~ spray, col = "red", vertical = TRUE, add = TRUE)) But the dots from the stripchart are plotted over the Boxes. Is there any possibility to have Stripchart and Boxplots side-by-side, i.e. to move boxplots and/or

Hi all, Could anybody help me figure out how to write text on a boxplot. I have to plot 9 boxplots side by side on a single graph. On the x-axis I write numeric values with the 'names' argument but I'd like to add one label (character value) in the middle of each box. I know how to use the text() function for regular y~x plots but in this particular case, I'm kinda lost...

Hello, I am trying to plot two sets of boxplots together. These are estimates of two experiments and?seven?factors. The results of the two experiments I want to plot as boxplots stacked to each other. Therefore I plot first the results of the first experiment; and next with the add option the second set of boxplots. The boxplots are plotted at 'at = 1:7 - 0.15 for the first experiment and

Hi all, I would like to ask a question with regard to R graphics. I am currently trying to add data points in boxplots using points(). In my script, I add up boxplots three times using add=TRUE. I use points() every time I add boxplots, and I see data points. However, I see all data points are clustered at three specific points on x-axis; the locations of the data points are not overlapping with

hi I have list of matrix of lenggth 61 containg the mean values..I want to make a boxplot for each of the matrix. I used a for loop but i cant figure out the way to save in the boxplots > all.the.mean [[1]] mean 0.5 o.6 0.8 [[2]] 0.6 0.6 0.9 now i want the boxplot for each of the matrix in a seperate window.my code for(i in 1:length(all.the.mean) { windows() boxplot(all.the.mean[[i]] } this

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:

Dear R-users, I have a data frame containing 2 colums: column 1 is the patient numbers (totally 36 patients), column 2 is patient's response values (each patient has 100 response values). If I produce a boxplot for each patient on the same graph in order to compare them against each other then the boxplots are very small. How can I instead of creating one graph containing 36 boxplots,