search for: plants

Hi, I tried to do a nested Anova with the attached Data. My response variable is "survivors" and I would like to know the effect of (insect-egg clutch) "size", "position" (of clutch on twig) and "clone" (/plant genotype) on the survival of eggs (due to predation). Each plant was provided with three different sizes of clutches (45,15,5) and had

Hello everyone :) Love the mailing list! I read it as much as I can! Thanks all you RoR guru''s for providing so much help. Anyways... So say I have Users, and each user can have a list of Plants that they like. I would want to give each user a table that has many entries to show me which plants they like. How could I do this? I don''t know if there''s a way to do it in RoR, so I was just going to use SQL, and manually create a table corrosponding to the User''...

Dear R-community, my data set looks like 'mat' below. Plant<-c(NA,1,1,1,NA,NA,NA,NA,NA,1); Value1<-rnorm(1:10); Value2<-rnorm(1:10); mat<-cbind(Plant,Value1,Value2); I receive data from two different sites. One site is identified by an interger number, the other site has no data in column Plant=NA. My pb: I'm trying to assign labels "A" or "B" to

The formula attribute of the builtin CO2 dataset seems a bit strange: > formula(CO2) Plant ~ Type + Treatment + conc + uptake What is one supposed to do with that? Certainly its not suitable for input to lm and none of the examples in ?CO2 use the above.

Hi, I'm using metafor to perform a mixed-effects meta-analysis. I'd like to test whether the effect is different for animals and plants/whether "group" (animal/plant) influences the effect size, but am having trouble interpreting the results I get. I've read previous posts about QM in metafor, but I'm still a bit confused. I've dummy-coded the factors: MData$k.animal<-ifelse(MData$Type=="Animal",...

I saw different specifications for Random Effects and I'm confused about the use of "/" and the use of "(0+...|)" . Let say we have a nested structure where some countries have some several plants in different states and we measure the reaction to a drug. The list of Countries = USA, France, Italy The States for USA = Michigan, Florida, California The States for France = Paris, Orleans The States for Italy = Venezia, Sienna, Florence, Rome, Napoli , Sicilia Plants were classified as High...

...lmer(leaves.eaten~Geocytotype+(1|TEST/ PLANT),data=cyphoplantfeeding,family=poisson) My experimental setup is 41 replicates (TEST) of an experiment in which there are three Geocytotypes of a plant species in each TEST, and two plant pseudoreplicates per Geocytotype in each test (i.e. 3*2=6 plants per test). So my random factors are trying to examine/ account for variation between replicates and between pairs of plants in each test. The response variable is counts of damaged leaves on each plant hence the poisson distribution. When I try and run the model I get this error message (sorr...

Dear R-people, I hope asking this is not too cheeky, but I do have a R Problem. I hope that some of you like to play around with R and can help me. Its like this. I have several plant species (A,B,C) and 10 replicates per species. 5 plants per species are damaged, 5 not. I let a caterpillar feed on each plant and measured the growth of the caterpillars on control plants (CR) and on damaged plants (DR). The difference, DR-CR is an indicator for induced resistance IR. The data could look like this...just as an example. Species Con...

...on short notice. Briefly, I have an experiment in which a response variable is repeatedly measured at 1-day intervals, except that after a plant becomes sick, it is measured every three days. We forgot to randomize on one of the important variables (soil pH) and we forgot to measure the soil pH. Plants that begin to respond to treatment are harvested and eaten (deep fried if they don't look so good), but we want to make an inference about long-term responses. In addition, we forgot to measure the response on some of the days before the plant was terminated. Some baseline variables were not...

Hi, every body! I am a new comer for R, so my question would unavoidablely sounds stupid. Sorry! In my experiment, there are two type of soil ( soil F and soil D), each half of them were subjected to steam sterilize (result in FS and DS soil). A equal volume of soil from two of the four soil types (F, D, FS, DS) were mixed as follows: F+F, F+D, F+FS, F+DS, D+F, D+FS, D+DS, FS+DS (eight

Dear R users, I have a data frame in the form below, on which I would like to make normality tests on the values in the ExpressionLevel column. > head(df) ID Plant Tissue Gene ExpressionLevel 1 1 p1 t1 g1 366.53 2 2 p1 t1 g2 0.57 3 3 p1 t1 g3 11.81 4 4 p1 t2 g1 498.43 5 5 p1 t2 g2 2.14 6 6 p1 t2 g3 7.85 I

?s 17:38 de 30/11/2023, Robert Baer escreveu: > I am having trouble using back ticks with the R extractor function > 'predict' and an lm() model.? I'm trying too construct some nice vectors > that can be used for plotting the two types of regression intervals.? I > think it works with normal column heading names but it fails when I have > "special"

Hello, I am a beginner in R and statistics, so my question may be trivial. Sorry in advance. I performed a Cox proportion hazard regression with 2 categorical variables with cph{design}. Then an anova on the results. the output is > anova(cph(surv(survival, censor) ~ plant + leaf.age + plant*leaf.age, > Mpnymph) Wald Statistics Response: Surv(survival, censored)

Hi. I had successful confiured my Asterix PBX, but now I need to connect it to a Nortel Meridian phone plant, I got a Digium T100P on the machine I got the Asterisk and I already connect it with the phone plant, I need to know what configuration do I have to do so the ip extensions can make calls to the extensions of my plant Nortel. And extensions from the Nortel plant can call ip extensions of

I am having trouble using back ticks with the R extractor function 'predict' and an lm() model.? I'm trying too construct some nice vectors that can be used for plotting the two types of regression intervals.? I think it works with normal column heading names but it fails when I have "special" back-tick names.? Can anyone help with how I would reference these?? Short of

Hello everybody I want to compare the proportions of germinated seeds (seed batches of size 10) of three plant types (1,2,3) with a glm with binomial data (following the method in Crawley: Statistics,an introduction using R, p.247). The problem seems to be that in two plant types (2,3) all plants have proportions = 0. I give you my data and the model I'm running: success failure type [1,] 0 10 3 [2,] 0 10 2 [3,] 0 10 2 [4,] 0 10 2 [5,] 0 10 2 [6,] 0 10 2 [7,] 0 10 2 [8,] 4 6 1 [9,] 4 6 1 [10,] 3...

Hi all My data table (g) contains a continues data column (plant.height) and other columns (columns 8 to 57), each with number of levels of different factors. ANOVA test was done and the p-values were extracted as follos: a <- function(x) anova(lm(plant.height ~ x))$"Pr(>F)"[1] r<- apply(g[,8:57],2,a) If I try to do a Kruskal-Wallis test : kw <- function(x)

...e (Rd) that contains the following \usage statement: \name{sample.data} \alias{sample.data} \title{CONIFERS forest growth model sample data} \description{ A list object of type \code{sample.data} stores all of the basic information about a \code{\link{data.frame}} object representing a sample of plants.} \usage{ x <- list( plots=data.frame(), plants=data.frame(), age=0, x0=0.0, n.years.projected=0 ) class(x) <- "sample.data" } When I run R CMD check [pkg], I get the following WARNING: * checking Rd \usage sections ... WARNING Assignments in \usage in documentation object '...

Hello R-help, I'm studying an example in the R book.? The data file is available from the link below.http://www.bio.ic.ac.uk/research/mjcraw/therbook/data/fertilizer.txt Could you explain Why the results from lme() and lmer() are different in the following case? In other examples, I can get the same results using the two functions, but not here...? Thank you.Miya library(lme4)library(nlme)#

Dear list, How to convert a character to a filename? such as: x <- "height" # "height" here is actually a name of a colume in a data frame filename <- paste("plant,x") write.csv (data, file="C:/plant/filename.csv) # having trouble with this statement, how to 'write' the filename here? All I want from above is to write 'data' to a file