search for: parasitic

Hello, I would like to build a Lorenz curve and calculate a Gini coefficient in order to find how much parasites does the top 20% most infected hosts support. Here is my data set: Number of parasites per host: parasites = c(0,1,2,3,4,5,6,7,8,9,10) Number of hosts associated with each number of parasites given above: hosts = c(18,20,28,19,16,10,3,1,0,0,0) To represent the Lorenz curve: I

I have a host-parasite association matrix in which parasite species are rows and host species columns and cells contain the frequency of interactions. Some parasites are associated with many hosts, and some hosts harbor several parasites, and I want to repeatedly select only one single representative host per "generalized" (multi-host) parasite to create a new matrix in which no hosts

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) =>

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

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.

Hello, Thank you very much for your help. How can I draw a Lorenz curve with several replications ? Here is an example with 4 replications: hosts=c(23,31,19,10,7,7,3, 39,40,8,3,6,2,2, 47,17,8,10,6,11,1, 30,30,10,0,15,15,0) parasites=rep(seq(from=0,to=6,by=1),4) replications=c(rep(1,7),rep(2,7),rep(3,7),rep(4,7)) test <- cbind(parasites,hosts,replications) Should I

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

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

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

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

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)

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

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

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

Dear R community, I'm trying to analyze a model with an ordinal response variable. I wonder if clm()s (Cumulative Link Models) are appropriate in my case. The study compares parasite infestation of porpoises in 1995 and 2009. The degree of infestation is a rank (mild to severe, as ordered factor). In some parasite species clm gives meaningful results. But in one case I started to wonder. In

I have a some data, and imagine a column of how many parasitic eggs found in the stool of some children some of the children we do not have this data so we put -1 in stead. How can you remove the people with -1, to calculate means and do box plots. Thank you! -- View this message in context: http://r.789695.n4.nabble.com/Removing-points-tp2195945p2195945.html...

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 campers, I wanted to let you know that I''ve just released my camping generator, which uses the rails generator system to create new camping apps. $ gem install camping_generator It''s the first part of my Parasite project, which aims to leverage rails for better, faster, stronger camping development. Feel free to take issue with my coding style, but submit issues at

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

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?