similar to: Package(s) for making waffle plot-like figures?

Dear all, I have 9 data frames, and I'm simply trying to sum the values of column 3 (on a row-by-row basis). However, there are a slightly different number of rows in each data frame, so I'm receiving the following error: "Error in Ops.data.frame(mrunoff_207101[3], mrunoff_207102[3]) : ? + only defined for equally-sized data frames". Here is what I'm attempting to do:

#Hello, #I have three data frames, X,Y and Z with two columns each and different numbers of rows. # creation of data frame X X.alleles <- c(1,5,6,7,8) X.Freq <- c(0.35, 0.15, 0.05 , 0.10, 0.35) Loc1 <- cbind( X.alleles,X.Freq) X <- data.frame(Loc1) #creation of data frame Y Y.alleles <- c(1,4,6,8) Y.Freq <- c(0.35, 0.35, 0.10, 0.20 )

Dear all, ## I have 4 tables like this: satu <- array(c(5,15,20,68,29,54,84,119), dim=c(2,4), dimnames=list(c("Negative", "Positive"), c("Black", "Brown", "Red", "Blond"))) dua <- array(c(50,105,30,8,29,25,84,9), dim=c(2,4), dimnames=list(c("Negative", "Positive"),

Hi, I just downloaded Wine to try it out, and despite being a tinkerer with half a brain i cant figure out how to install windows games using it. I have looked online to no avail, the stuff i have read has not helped mostly because im trying to install a game from its DVD and Wine wont do it unless the EXE is given permission to install as a program and you cant edit files on the DVD as they are

Possibly OT? I've hooked up a Linksys PAP2 to my Asterisk 1.6 fairly painlessly. The only issue I can't beat with it is the dial delay when calling internal or external numbers. No matter what it seems to take 10 -15 seconds to actually dial. I've altered the device removing all *xx combos and unnecessary waffle and cut the dialplan string to (x.S0) but the problem persists. Anyone

Dear R users, I wish to utilise processed and saved objects as arguments of a function. Specifically, I have created objects using *"assign"* & *"paste"* functions with an incremental index i, the names of the objects are: fund1, fund2, fund3,....., fund80,..... (where the numerical value increments according to the index i & class of these objects are

I have hundreds of text files which has data like a data frame with three columns.The column names are same in all the files.I need to merge all files into a single big file. My files are like this file1 "new.col" "ppm.p." "freq.p." "1_3_diaminopropane" 3.13859 5.67516 "1_3_diaminopropane" 3.137 6.65388 "1_3_diaminopropane" 3.13541 8.0142

Hello! It's a shoot in the dark, but I'll try. If one has a total of 100 (e.g., %), and three components of the total, e.g., mytotal=data.frame(x=50,y=30,z=20), - one could build a pie chart with 3 sectors representing x, y, and z according to their proportions in the total. I am wondering if it's possible to build something very similar, but not on a circle but in a square - such that

On Mon, 2015-02-02 at 15:17 -0700, Warren Young wrote: > The answer is clear to me: general security principles. By the time EL8 comes out, we?ll have had ~3 years of warnings under EL7 that weak passwords would not be tolerated, and they?re finally disallowing them. Good! > > (More like 6 years, actually, because EL6 gives a red warning bar for weak passwords.) > > Let?s flip

Hello, I?ve tried several times to learn R, but have never gotten past a particular gate. My data are organized by column in Excel, with column headers in the first row. The columns are of unequal lengths. I export them as CSV, then import the CSV file into R. I wish to summarize the data by column. R inserts NA for missing values, then refuses to operate on columns with NA. R is importing

Hi folks, Wish y'all a Happy New Year 2010! I need some help with the following: Say I have lots of data sets, on which I have to apply a certain function on the same set of columns in each of the data set. Let's take, for ex, the typical data set is: df1 <- as.data.frame(cbind(rnorm(10),rnorm(10))) names(df1)[1] <- "A" names(df1)[2] <- "B" There are many

I'm looking for a histogram variant in which data points are plotted as labelled rectangles 'piled up' to form a histogram. I've posted an example at https://www.dropbox.com/s/ozi8bhdn5kqaufm/labelled_histogram.png?dl=0 It seems to have a long pedigree, as I see it (as in this example) in documents going back beyond the '80s. But I've not seen it in recent textbooks. So it

Hi, I have a dataset which has more than two clusters (say 3 clusters). I used kmeans to cluster the dataset. I am wondering how I can plot the clustering result on a two-dimensional figure???? The example in the kmeans help file is as follows: x <- rbind(matrix(rnorm(100, sd = 0.3), ncol = 2), matrix(rnorm(100, mean = 1, sd = 0.3), ncol = 2)) cl <- kmeans(x, 2, 20)

Hi, Is it possible use a loop to process many data frames in the same way? For example, if I have three data frames, all with same variables df_bs_id1 <- read.csv("test1.csv",header =TRUE) df_bs_id2 <- read.csv("test2.csv",header =TRUE) df_bs_id3 <- read.csv("test3.csv",header =TRUE) How could I would implement a code loop that , for instance, would

Over the years there have been inquiries to these lists as to how to produce plots with the direction(s) of axes reversed. In response to some of these inquiries, I have provided a function call ``rplot'' which automated the procedure for such axis reversal. Recently Herberto Ghezzo of McGill University pointed out to me that there was a bug in my code. I have now fixed this bug (and a

Hello, I just tried to install R (unix version), but I have not successed. I download the file and uncompresssed it in a R folder. then I used the following commands: ./configure make The attached are error message: Could any one tell me how to fix it?? Thanks R is now configured for sparc-sun-solaris2.6 Source directory: . Installation directory: /usr/local C compiler:

I wrote an inotify based automatic backtrace generator -- Please do hate me, Timo :) dovecot-1.1rc1 (or rather the hg checkout) GNU gdb 6.7.1-debian Copyright (C) 2007 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html> This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by

Dear R users, I am trying to produce an image plot, that represents the proportions of a factor (z variable), so that the number of squares of each colour represents each factor level, with the respective label inside (sorry for the crap English). # Something like this: kk=data.frame(fact=letters[1:10], freq=c(5,1,10,2,10,7,5,10,30,20)) # factor and respective frequecies res="a" #

Hi This is a general question.What is the differnece between these ?Why I am asking such a question is i am using will_paginate pluggin..Now it is available as gem..So is there any performance (stability and speed of execution) difference? Thanks in advance Sijo -- Posted via http://www.ruby-forum.com/. --~--~---------~--~----~------------~-------~--~----~ You received this message because

Hi, I got a Matrox RT.X100 Pro capture card to make a live video streaming with it. The concert to be streamed will be on Saturday... I have a Linux-based server running Icecast 2.3, so I need to make this computer with the Matrox card to work with the Icecast server. I'd prefer Ogg Theora. Unfortunately there's no Linux support for this card, so the only choice I have is Windows XP.