similar to: drawing half-circles

I have code like this: data <- read.csv("test1.csv", stringsAsFactors=FALSE, header=TRUE) # Graph myplot=ggplot(data, aes(fill=condition, y=value, x=condition)) + geom_bar(position="dodge", stat="identity", width=0.5) + scale_fill_manual(values=c("#7b3294", "#c2a5cf", "#a6dba0", "#008837"))+

Hi, I have a data frame like this: > dput(df) structure(list(ID = 1:8, Type = c("gmx mdrun -ntmpi 8 -ntomp 1 -s benchPEP.tpr -nsteps 10000 -resethway", "gmx mdrun -ntmpi 8 -ntomp 1 -s benchPEP.tpr -nsteps 10000 -resethway", "gmx mdrun -ntmpi 8 -s benchPEP.tpr -nsteps 4000 -resetstep 3000", "gmx mdrun -ntmpi 8 -s benchPEP.tpr -nsteps 4000 -resetstep

I have a data set which I would like to plot as a set of concentric circles. The data represent a count of the number of characteristics shared by various elements - an example would look like this: 1 100 2 75 3 50 4 25 I.e. all four sets share 25 characteristics, three of them share 50 characteristics, and so on. I would like to plot these as concentric circles, with the circle size

Hello R community, I am looking for a robust test for equality of variances that can take observation weights. I realize I can do the F-test with weighted variances, but I've read that this test is not very robust. So I thought about maybe adding a "weights" argument to John Fox's code for the Levene Test (in the "car" library, "levene.test"), substituting

Hi, I am trying to simulate animal movement in a gridded landscape made up of cells. At each time step (iteration), the animal moves from one cell to another in a random fashion. This is how I am simulating movement, where a and b are the x,y co-ordinates of the animal at the previous time step: for (i in 1:no.of.steps){ direction <- sample(1:8, 1) if(direction == 1){ a <- a b <- b -

Hi; I have a R script that includes a call to genoud(); genoud process lasts about 4 seconds, what would be OK if I hadn't have to call it about 2000 times. This yields about 2 hours of processing. And I would like to use this script operationally; so that it should be run twice a day. It seems to me that the parallel processing option included in genoud() divides the task inside the function

Dear R experts, I am plotting the population of students who live in a city, and in successive circular bands made of the contiguous districts that surround the city. This is a stylized figure, where I specify the area of each successive circle based on the cumulative population of students. I want to compare two sets of concentric circles across different populations - such as 'All

I feel like an idiot posting this because every language I've ever seen has a string function that trims blanks off strings (off the front or back or both). Ideally, it would process whole data frames/matrices etc but I don't even see one that processes a single string. But I've searched and I don't even see that. There's a strtrim function but it does something completely

dear R-help, i have looked carefully through the R-help archives for information on how to suppress whiskers in a bwplot. someone asked this question a while ago, but the answer he received is not available in the archives. but i did manage to get my hands on a panel function (called "my.panel") that is supposed to do this (the function is reproduced at the end of the email, below).

hi, i'm trying to learn how to use aregImpute by doing the examples provided with the package, and after installing Hmisc.1.6-1.zip (for Windows), and running the very first example on R 1.7.1, i get an error message warning me about "mace" (see below) and acepack. i found the acepack package, but its filename ends in tar.gz and i'm finding it difficult to open (because its

Hi, one of the nice things about contour is that it labels all contour lines. contourplot only labels each particular elevation a single time. i.e., if there are two contour lines corresponding to z = 45, it will only label one of them. is there a way to get contourplot to automatically label all the contour lines, even those that are repeated? i ask because i want to plot contour plots *w/

Dear R-list, i have 6 different sets of samples. Each sample has about 5000 observations, with each observation comprised of 150 baseline covariates (X), 125 of which are dichotomous. Roughly 20% of the observations in each sample are "treatment" and the rest are "control" units. i am doing propensity score matching, i have already estimated propensity scores(predicted

On 13/09/17 13:24, K?tia Emidio wrote: > Dear Rolf, > > Thanks for your help! > > What I need is a spatial window with shape equal to the figure attached. > This figure I made using ArcGis, but it is important to me make it in R. > After having this figure I will make some analysis using spatstat among > others. The points within figure are trees... (1) I believe that

I am trying to use optim() to minimize a sum-of-squared deviations function based upon four parameters. The basic function is defined as ... SPsse <- function(par,B,CPE,SSE.only=TRUE) { n <- length(B) # get number of years of data B0 <- par["B0"] # isolate B0 parameter K <- par["K"]

This changes the message_age_timer calculation to use the BPDU's max age as opposed to the local bridge's max age. This is in accordance with section 8.6.2.3.2 Step 2 of the 802.1D-1998 sprecification. With the current implementation, when running with very large bridge diameters, convergance will not always occur even if a root bridge is configured to have a longer max age. Tested

Dear Group, I have the following data matrix which is a timeseries. > dput(tData) structure(list(A = c(0.2, 0.13, 0.05, 0.1, 0.02, 0.18, 0.09, 0.06, 0.13), B = c(0.15, 0.06, 0.09, 0.02, 0.03, 0.12, 0.01, 0.15, 0.06), C = c(-0.1, 0, -0.07, -0.06, -0.05, -0.05, -0.06, -0.08, -0.07), D = c(-0.15, -0.05, -0.1, -0.03, -0.13, -0.04, -0.1, -0.04, -0.15), E = c(-0.17, -0.16, -0.08, -0.07, -0.09,

Maybe my imagination is overactive, but I seem to remember reading some- thing in the vein of a HOWTO/tutorial on adding a Win32 API call to Wine. It discussed the SPEC file, header files, etc. I've searched the winehq website and the source tree, but I can't seem to find this. Anyone know what I'm thinking of? Thanks! --

Hi R help, I am having problems running calculations in both the standard R GUI (ver 2.11.0) and the Java GUI for R (1.7-2) in Windows XP Service Pack 3 (2.2 GHz processor with 2 GB of RAM). When I try to import my data and run calculations on it, the GUI closes within a minute, sometimes almost instantaneously after I try to import data to then run the rest of my script. Has anyone had this

Dear R Community: I am working on a public health early warning system, and I see that the qcc package allows for CUSUM and other statistical quality tests but I am not sure if my project is a good match for qcc functions as written. Any advice you may have is very much appreciated. I have four years worth of daily counts of emergency room admissions for different conditions (e.g. respiratory,

I'm wondering how the cex parameter is used to scale circles (i.e. does it scale the radius, diameter, area, circumference, etc.?). In my case I'm using lattice with filled circles (pch=19). Based on example, it looks like R scales the radius of the circle: library(lattice) dta<-data.frame(x=rep(1,6),y=rep(1,6),sz=c(1,2,4,8,16,32))