similar to: Random resampling of columns in species association matrices

Hi everyone, I determined the presence of three types parasites in a passerine bird over two years. I would like to create a bar chart that shows the proportion infected on the y and year/parasite on the x such that each type of parasite is grouped together (single label) and a bar for each year . This would show if there have been changes in the prevalence of a the parasite over two years.

Hi R people! I am looking for some suggestions writing an if-else function. The idea is to characterize different plots containing counts of variables (here parasites). If a plot has a count equal or higher than 4 for any parasite the function should return a 1 else a 0. Later I can loop the function over all plots. Here I have a little subset of my data: VariablePAR Plot1

Hi, I am running a mixed-effect model with a nested-random effect. I am interested in gut parasites in moose. I has three different type of treatment that I applied to moose which are from different "families". My response variable is gut parasites and the factors are moose families which is nested within treatment. My data is balanced. To answer this question, I used the lme function

Hi, I have a problem concerning discrepances between R (which I use) and Statistica (which uses my supervisor). I can't say what is the origin of these differences but unfortunately my supervisor doesn't know that either. Our response variable is number (or presence/absence) of parasites in rodents and explanatory variables are presence/absence of several alleles. The rodents were

Hello all, I am hoping to use survival analysis to examine whether parasite attack increases nest death in a species of social wasp. I therefore have data for 1. Whether the nest "died" in the 6 week census period ("Status", where 1=died, 0=survived) 2. The day number of death/last recorded day it was observed alive. 3. Whether the nest was attacked by the parasite (0/1 as

When syncing one backup system (running dirvish, but that's not really relevant) to a second long-term backup system which uses btrfs snapshots, I get the following output: rsync: link "/parasite.oob.telegraaf.net/vservers-var-www/tree/elo/var/www/lokaalx/openx-htdocs/etc/xmlcache/.svn/prop-base/cache_etc-changes_schema-tables-core-12934.bin.svn-base" (in backup-aquagirl) =>

Dear all, I have tried to calculate a GLMM fit with lmer (lme4) and glmmPQL (MASS), I also used glm for comparison. I am getting very different results from different functions, and I suspect that the problem is with our dataset rather than the functions, but I would appreciate help in deciding whether my suspicions are right. If indeed we are attempting the wrong type of analysis, some

Dear All, Apologies for sending this email to both list, but at this point I'm not sure which one could help me the most. I have 4 sets of data, 1 test and 3 different sets of controls. The measurements are binary, with a matrix of 0 and 1 I'm measuring across time (rows, ~815) the behaviour of organelles in the cell by microscopy in response to different stimuli (several measurements

Announcing the the 0.2.0 release of parasite and the camping_generator. Parasite (from the project page -- http://parasite.rubyforge.org/): Camping app developers no longer have any reason to envy their Ruby on Rails friends: Parasite brings generators, environments, and other Rails-y goodness to the world of Camping app development. Parasite is currently at version 0.2. The Parasite package is

Dear all, I'm building binomial mixed-model using lme4 package. I'm able to obtain outputs properly except when I include two particular variables: date (from 23 to 34; 1 being to first sampling day) and Latitude (UTM/100 000, from 55.42 to 56.53). No "NA" is any of those variables. In those cases, I get the warning message: "nlminb failed to converge" I tried to

Hi, Default register allocator tries to reuse the same registers over and over again even if register file have a plenty of registers to use. This creates parasite false dependencies and makes scheduling less effective. How to instruct allocator (may be override some virtual function in mine backend?) that it is profitable to use maximum number of available registers with minimal dependencies?

Dear All, I wonder if anyone can advise me as to whether there is a consensus as to how the effect size should be calculated from GLIM models in R for any specified significant main effect or interaction. In investigating the causes of variation in infection in wild animals, we have fitted 4-way GLIM models in R with negative binomial errors. These are then simplified using the STEP procedure,

Is there a cable length limit to use with a fxsmod (TDM400B) ? I noticed that if I use a very long cable 148 feet, I can hear some parasite : I hear the radio ! If I use a short cable, there is no problem... Thanks for help, St?phane HENRY

All, I see this item on the merb-0.0.8 release notes Added rails session parasite mode. I am assuming merbs can piggy back off the rails current session. How does one achieve that ? Thanks Fernand -------------- next part -------------- An HTML attachment was scrubbed... URL: http://rubyforge.org/pipermail/merb-devel/attachments/20070112/0803f46e/attachment.html

Hi, I am trying to fit a non-linear model for a parasite dataset. Initially, I tried log-transforming the data and conducting a 2-way ANCOVA, and found that the equal variance of populations and normality assumptions were violated. Gaba et al. (2005) suggests that the Weibull Distribution is best for highly aggregated parasite distributions, and performs better (lower type 1 and 2 error rates)

Background - I am having an issue with occassional pauses when streaming high-bitrate media across my home network to my smart TV. I *suspect* that the root cause is the (incredibly lame) 100 Mbps Ethernet interface in the TV. In order to confirm that the peak bitrate really does max out the 100 Mbps connection, I'd like to monitor the communication between my NAS and the TV. The two

I have run a glm with a final formula of : (dependent variable = parasite load, main effects are sex, month, length and weight, with sex:month and length:weight first order interactions). I am using the summary(mod) command to give me the contrasts, which I believe use the contr.treatment command. I do not have a treatment group as such as I am comparing data from a wild system so I use the

I have a set of data that comprises genome numbers in single eggs from three different parasite clones - 3D7, HB3, and MIX. I can draw a boxplot of the genome numbers for each clonefed but how do I carry out a t test or ANOVA to compare if the means are signifcantly different? (Data is listed below) Many thanks, Georgina Humphreys clonefed genomes HB3 21.3 HB3 23.5 HB3 25.9 3D7 27.2 HB3 28.1

http://www.businessinsider.com/red-hat-ceo-go-ahead-copy-our-software-2013-8 Title says is all. Nice to know RH understands and accepts the relationship between CentOS and RHEL. Although it is complex. After all, if too many choose CentOS, there may no longer be a CentOS. However, I don't think I would refer to CentOS as a "parasite" as the author Matt Asay does. More appropriate

Hello R users, I am working with the GAM to inspect the effect of some factors (year, area) and continuous variables (length, depth, latitude and longitude) on the intensity and prevalence of the common parasite Anisakis. I would like introduce interaction in my models, both "continuous variables-continuous variables" and "continuous variables-factor". I have read some