similar to: Binning data

Hello I have a data set like below: plate.id well.id Group HYB rlt1 1 P1 A1 Control SKOV3hyb 0.190 2 P1 A2 Control SKOV3hyb 0.210 3 P1 A3 Control SKOV3hyb 0.205 4 P1 A4 Control SKOV3hyb 0.206 5 P1 A5 Control SKOV3hyb 0.184 385 P1 A1 ovca SKOV3hyb 0.184 386 P1 A2 ovca SKOV3hyb 0.229 387

I am using R to plot baseball spray charts from play-by-play data. I have used the following command to plot the diamond: plot (0:250, -250:0, type="n", bg="white") lines(c(125,150,125,100,125),c(-210,-180,-150,-180,-210), col=c("black")) I have also plotted different hit locations using commands such as the following: points(subset(framename$hit_x,

Newbie here. Many apologies in advance for using the incorrect lingo. I'm new to statistics and VERY new to R. I'm attempting to "group" or "bin" data together in order to analyze them as a combined group rather than as discrete set. I'll provide a simple example of the data for illustrative purposes. Patient ID | Charges | Age | Race 1 |

hi, ive been reading up on ferret, acts_as_ferret, and other search plugins for rails. after reading about ferret, i found out about the acts_as_ferrt plugin. my first question about acts_as_ferret: 1. from reading about ferret, do i still need to manually save the IDX and add a IDX column field to my model table for acts_as_ferret to work? they say that acts_as_ferret handles everything,

First I would like to say thank you for taking the time to read it.Here is my problem. I am running a lmer analysis for binary longitudinal (repeated measures) data. Basically, I manipulated fruits and vegetation to two levels each(present and absent) and I am trying to access how these factors affect mice foraging behavior. The design consist of 12 plots, divided in 3 blocks. So each block

Hi, I'm looking for a super-duper fast mean/sum binning implementation available in R, and before implementing z = binnedMeans(x y) in native code myself, does any one know of an existing function/package for this? I'm sure it already exists. So, given data (x,y) and B bins bx[1] < bx[2] < ... < bx[B] < bx[B+1], I'd like to calculate the binned means (or sums)

I'll purposely attach an HTML encoded message in case some of you are using 7-bit ascii readers. I have a number of songs which use extended ASCII characters in the arist or title such as Màire Brennan - I Láthair Dé. The Current Song in the IceCast status.xsl replaces every extended character plus 1 or 2 characters after it with some strange character. So effectivly shortens the title

Dear All, I'm rather a beginner on nested ANOVAs, so here goes with my 2 questions; Qu 1: I'm modelling the number of galls on a leaf (the response variable) as a function of; the tree on which I find the leaf, the branch on which I find the leaf. Then, the tree and the branch are both random factors, and I'm quite happy that I should write; aov(galls~tree/branch +

In a data frame, I would like to assign two or more factors to one observation. Is it possible? If so, how? Example: In the variable $ dishes, there are several levels: "cup", "plate", "saucer". In my first observation, I see a saucer only. But in the second one, I see a cup and a saucer. In the third, however, there is only a cup, in the fourth a plate only and

I just started using R last week. I have a dataset with 3 columns - Plate, Well and Raw I need to make a simple plot(Well~Raw) but only when Plate = 101 Thanks for your help. -- View this message in context: http://r.789695.n4.nabble.com/Simple-conditional-plot-tp3654300p3654300.html Sent from the R help mailing list archive at Nabble.com.

I am in the process of switching from SAS over to R. I am working on very large CSV datasets that contain vehicle information. As I am processing the data, I need to select the first (or sometimes the second) record (by date) for any records that have the same license plate number. In SAS, there is a function called 'first.' that can be used on sorted datasets to pull out those first

I have been asked if asterisk can change codecs dynamically based on the calling party's caller id. I couldnt find anything, and dont know that this is something that asterisk can do, but it occurs to me that possibly with a reinvite it can be done, however I dont think you can issue those from the dialplan or agi. The only solution I can think of on this is to use something like ser

Hi all I know GLMMGibbs is still in beta but has anyone experienced (and solved ;-) this problem? I decided to look at the seeds example but I get a core dump on two intel linux boxes and also a sun workstation. All are running R1.3.0 but different hardware/OS's so I think I've done something wrong > library(GLMMGibbs) > data(seeds) > seeds$plate <- as.factor(1:21) >

A good while ago I asked about difference between --delete-during/delay and --delete-after, when per-directory files are updated (all is perfectly clear for me here), but during the discussion there was a hint made by Wayne, that the outcome can differ in more situations: " It is useful for things such as --delay-updates --delete-delay (to have all updates happen more rapidly at the

Hi Everyone, I'm a pretty useless r-er but have data that SPSS etc doesn't like. I've managed to do GLMs for my data, but now need to fit a thin plate spline for my data (arcsine.success~date.num:clutch.size) If anyone has a bit of spare time and could come up with a bit of code I'd be very grateful- I just don't get R language! Thanks Rach -- View this message in context:

Dear R-help subscribers, I'm trying to write a function to generate data simulating the image created by a point radiation source in a plane on a screen where there is filter with a single circular aperture in it between the source and the screen. Following some guides (including Intro to R and some I found online) and examples I have specified the function (full code below question) with

Hi, I have been having some trouble using aov to do an anova, probably because I'm not understanding how to use this function correctly. For some reason it always tells me that "Estimated effects may be unbalanced", though I'm not sure what this means. Is the formula I am using written incorrectly? Below is the code I am using along with the data: > my.data response

Hi all, when I create a subfolder in a public mailbox the dovecot-shared file is copied for the newly created subfolder and all mails get the owner, group and permissions from the file. Unfortunately the cur, new and tmp folders only get the permissions from the file but owner and group are set according to the creator. This effectivly makes the folder private to the creator. Is this the

Command I am using for the plot: plot(Raw[][Plate==101]~well[][Plate==101], xlab="Well", ylab="Raw", main="Plate 101") I only want to label points on the graph where well equals B13, G13, K14 and N14 with the name of the well. Thank you for your help. -- View this message in context:

Hi all, I have a situation where I have 16 bins. I generate a random number and then want to know which bin number the random number falls in. Right now, I am using a serious of 16 if() else {} statements which get very complicated with the embedded curly braces. Is there a more efficient (i.e., easier) way to go about this? boundaries<-(0:16)/16 rand<-runif(1) Which bin number (1:16)