similar to: Categorical data repeated on time analysis

Hi, I am trying to run a script on R and it died before finish. I already read the list archives, and memory help pages (http://tinyurl.com/yaxco6w), but I am unable to solve the issue. My Debian shows: marcelo at laia:~$ ulimit unlimited marcelo at laia:~$ On system monitor (gnome) I see that R reaches 1.9 Gb, before die. The R code is: > ls() ## only todos.norm object are listed [1]

Hi All, I have a very simple problem. I have several files in a same directory. I would like to send for an object only the files that finish in ".sens.". I execute the command below, files <- dir(pattern="*.sens") but it includes all of the files that have "sens", independent of they be in the end or in the middle of the name of the file. How could I solve

I had instaled winrar3.51 and I get this errors: fixme:actctx:CreateActCtxW stub! err:rebar:REBAR_AdjustBands Phase 1 failed, x=692, maxx=-4, start=0, end=0 err:rebar:REBAR_AdjustBands Phase 1 failed, x=692, maxx=-4, start=0, end=0 err:rebar:REBAR_AdjustBands Phase 1 failed, x=40, maxx=-4, start=1, end=1 err:rebar:REBAR_AdjustBands Phase 1 failed, x=692, maxx=-4, start=0, end=0

Hi, How I could improve this graphic? http://www.divshare.com/download/10754700-f81 I would like to write groups labels in each panel and override the labels from object. I am try this code: xyplot(percentagem.mortos~tempo|trat, data=bio.ens, type="a", ? ? ? auto.key=list(points=FALSE, lines=TRUE, columns=3), ? ? ? ylim=c(0,100),scales = list(x = list(at = c(48, 72, 96), labels ? ?

Dear all, I'm trying reproduce an example of bioassays Yielding Concentration-Mortality Data particularly control - adjustment model from book Bioassay of Entomopathogenic Microbes and Nematodes chapter 7 with R. I used glm with family=binomial and link=probit, but I do not know how to implement parameter gamma (control mortality - mortality of the untreated control insect in this exaple)

Dear Sir/Madam, I need to install Rmpi Package on my linux debian like, but I get some errors. I try to instal it using install.packages or after download and save it on my local dir and run R CMD INSTALL packagename and, both, I get these errors: checking mpi.h usability... no checking mpi.h presence... no checking for mpi.h... no Try to find mpi.h ... Cannot find mpi header file. Please

Hi, I have a data set like this: Mutant Rep Time OD 02H02 1 0 0.029 02H02 2 0 0.029 02H02 3 0 0.023 02H02 1 8 0.655 02H02 2 8 0.615 02H02 3 8 0.557 02H02 1 12 1.776 02H02 2 12 1.859 02H02 3 12 1.668 02H02 1 16 3.379 02H02 2 16 3.726 02H02 3 16 3.367 306 1 0 0.033 306 2

A question about comparing symptom reduction over time and across treatment groups. Each respondent is asked twice if they experience symptoms (coded 1), at baseline and then at 6 months later. They are randomly assigned to either the control or the intervention group. The 2x2x2 table below shows the frequency counts. As can be seen in the margins of the table, 21% of the control group

Hello everybody, I'm testing the randomForest package in order to do some simulations and I get some trouble with the prediction of new values. The random forest computation is fine but each time I try to predict values with the newly created object, I get an error message. I thought I was because NA values in the dataframe, but I cleaned them and still got the same error. What am I

Dear list member, My question is related to input file format to an Anova from car package. Here is an example of what I did: My file format is like this (and I dislike the idea that I will need to recode it): Hormone day Block Treatment Plant Diameter High N.Leaves SH 23 1 1 1 3.19 25.3 2 SH 23 1 1 2 3.42 5.5 1 SH 23 1 2 1 2.19 5.2 2 SH 23 1 2 2 2.17 7.6 2 CH 23 1 1 1 3.64 6.5 2 CH 23 1 1 2

Dear all, I am trying to analyze data from an experiment like this: Factors: Hormone - Levels: SH, CH (S = without; C=with; H=Hormone) Time - Levels: 19/08/09, 04/09/09, 18/09/09, 08/10/09, 20/10/09 (DD/MM/YY) Nutrition - Levels: Completa, Sem (without) Macronutrition - Levels: Ca, K, Mg, P, Sem (without) Time is the measures day. It reflect the days after germination. Blocks : 4 plants per

I have a problem to plot label (Year) only for significant values (in this case spoz and sneg). I use this code, but don't work with labels. library(ggplot2) ggplot(data1, aes(x = Year, y = value,fill=type,width=1))+ geom_bar(stat="identity",position="identity")+ scale_y_continuous(breaks = round(seq(-100, 100, by = 10),10))+ theme_bw() Thank you! the data used is:

Hi, I have a experiment with block, plots, sub-plots, and sub-sub-plots with repeated measures and 3 factors (factorial design) when we have been observed diameter (mm), high (cm) and leaves number (count). However, we don't have one treatment in one factor, so, my design is unbalanced. On a previous message here, a friend tell me that "It appears to me that your design is a split-split

Hi, I run a maanova analysis and found this message error: Error in ma.svd(X, 0, 0) : 0 extent dimensions I did a google search and found this: \item ma.svd: function to compute the sigular-value decomposition of a rectangular matrix by using LAPACK routines DEGSVD AND ZGESVD. \item fdr: function to calculate the adjusted P values for FDR control. I did a search for LAPACK and

Hi guys My data is Tasmania txt There are *N *= 16 samples, consisting of 8 replicate cores (taken from different areas across the sandflat) from each of 2 natural 'treatments' (either disturbed "D" or undisturbed "U" by soldier crab burrowing activity. The abundances of each of *p *= 56 species were recorded from each core (variables 1 to 39 in the file are

(Apologies the previous version was sent as rich text) Hello, I'm new to R, but I've read the intro to R and successfully connected it to an instance of mysql. I'm trying to perform multiple linear regression, but I'm having trouble using the lm function. To start, I have read in a simply y matrix of values(dependent variable) and x matrix of independent variables. It says both

I would like to organize my data as follows: I have a table that contains various data, and the numbers represent a level of similarity between these data, eg RF00013 has 100% similarity with the data RF00014. I would leave my table as a heatmap where darker colors represent higher similarity, and the lighter colors represent less level of similarity. I'm using version 2.11 of R. these

rucker222 wrote: > The drop down layer selection menu at the top left of the screen directly above where the drawing 1 tab is opens upwards off of the screen once the drawing has a few layers on it. jjmckenzie wrote: > Log file please. I loaded a drawing with plenty of layers and then clicked on the layer drop down menu a couple of times before exiting ProgeCAD. Log file below. (sorry

I'm fitting data from a mixture experiment, and I'd like to present the results in a ternary graph with contours. I found this code by Walmes Zeviani http://n4.nabble.com/Triangular-filled-contour-plot-td1557386.html which is just what I want--except I would like the axis titles and labels to be proportionately larger than the ternary graph itself, for legibility in publication. When I

Hi, I'm trying to compile Samba 3.0.14a with Active Directory support on AIX 5.3 with AIX C 7.0. The make process stops with the following error: Using FLAGS = -I/opt/compiled/include -I/opt/compiled/include -I/opt/freeware/include -D_LINUX_SOURCE_COMPAT -qmaxmem=32000 -I./popt -Iinclude -I/home/johsod/freyasamba/samba/samba-3.0.14a/source/include