similar to: Error: arguments imply differing number of rows

4000:6000 gives you 4000, 4001, ..., 6000. I suspect you want population= c(seq(4000, 6000, length=5), seq(3500, 4300, length=5), seq(3000, 3200, length=5)) Bob On 20 September 2017 at 17:07, Shivi Bhatia <shivipmp82 at gmail.com> wrote: > Hi Team, > > I using the syntax as: > > data.df<- data.frame( > city= c(rep(c("Delhi",

Hi Team, I using the syntax as: data.df<- data.frame( city= c(rep(c("Delhi", "Bangalore","Chandigarh"),each=5)), population= c(4000:6000,3500:4300,3000:3200) ) But i am getting the error as arguments imply differing number of rows: 15, 3003. Tried searching google but could not understand & find the solution. Thanks, Shivi [[alternative HTML version

Hello, I'm training a set of data with Caret package using an elastic net (glmnet). Most of the time train works ok, but when the data set grows in size I get the following error: Error en { : task 1 failed - "arguments imply differing number of rows: 9, 10" and several warnings like this one: 1: In eval(expr, envir, enclos) : model fit failed for Resample01 My call to train

mydata <- read.table(textConnection(" Id cat1 location item_values p-values sequence a111 1 3002737 100 0.01 1 a112 1 3017821 102 0.05 2 a113 2 3027730 103 0.02 3 a114 2 3036220 104 0.04 4 a115 1 3053984 105 0.03 5 a118 1 3090500 106 0.02 8 a119 1 3103304

Ultimately my aim is to get a plot of density faceted by 2 factors with a horizontal boxplot overlaid on each density plot in the grid to indicate summary stats. So I've been experimenting with creating boxplots and density plots. Here's some representative data. series = c('C2','C4','C8','C10','C15','C20') ids =

Hello all, I'm relatively new to "R" and programming in general - I had previously used MatLab, but decided to make the transition to R, as the computational times are much better! Anyway, I'm trying to use R to run a gamma distribution model to estimate mean transit times of water moving through a hydrological catchment. My input are 3 .txt format files as follow:

Dear r-bugs, I'd like to be able to draw boxplots with solid or dotted whisker lines. The lty argument is currently ignored by boxplot(), and indeed hardwired in bxp(). It's not very difficult to customize these functions to generate various types of boxplots, but generally it might be an idea to allow the user to pass a few more graphical arguments to boxplot(). The approach might as

Hi, I need to scan some files, and then do a boxplot graph of them. I also save the output from the boxplot function, so I can process the data later. For example, I need to scan 2 (it can be x, 0<x) files here. A<-scan(F1)/100; B<-scan(F2)/100; Now let's try graph it. N1 is the label for F1, and so on. bitmap(file=Name, type="png16m")

I have four boxplots, stacked on top of one another (vertically). There are five classes that the continuous variable is set against. The problem I have is the data for the second boxplot only contains values for four of the five classes. I would like to include the space in this graph so there is a continuity for all of the boxplots, in terms of number of classes. I would include a set of

Hello all, I've scoured the archives and google and I can't figure out how to amalgamate a set of vectors of differing lengths in such a way as I can calculate the mean easily. The following dummy example contains vectors of length 1, but my data has vectors of various lengths. R> test = list(); for(i in 1:5) {test = append(test, i)} R> test [[1]] [1] 1 [[2]] [1] 2 [[3]] [1] 3

Tony, I don't understand what you mean. Could you give an example? > -----Original Message----- > From: Tony Plate [mailto:tplate at blackmesacapital.com] > > ... I'm not saying "never write functions that use ...", > >I'm just saying "never write functions that depend on a particular > >argument being passed via ...". > > Several

 Dear Madame or Sir,I am having a problem in combining density-smoothed scatterplot matrices with a plot of kernel destiny estimations of each dimension plotted on the respective field of the diagonal.I have tried following approach using the package "sm" for the kernel density estimation, as well as "MASS" respectively:pairs(myTable[, 1:4],panel=function(x,y, ...){

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

Hopefully I will not be flamed for this on the list, but I am starting out with R and having some trouble with combining plots. I am playing with the famous iris dataset (checking out example dataset in R while reading through Introduction to datamining) What I would like to do is create three graphs (combined boxplots) besides each other for each of the three species (Setosa, Versicolour and

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:

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

Thank you for your guys reply for my previous question. But I got one more question about the boxplot. With the code in the R-help: 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", ylab =

Dear all, I am a total beginner in R, so sorry if this is the wrong place. I am using R 2.10.1 on a Mac (Mac OS 10.6.2). I have this small dataset : growth sugar 75 C 72 C 73 C 61 F 67 F 64 F 62 S 63 S I have no problem reading the table, or getting the summary, but if I try boxplot(growth~sugar, ylab="growth", xlab="sugar", data=Dataset), I have the following error :