search for: insectes

Hi, If I have the follow situation: A dependent variable (i.e. number of insects) that is affected by an independent variable (i.e. rain). The problem is that the measure of rain affect the population in other moment. So there exit a lag between the rain and the number of insects. Exist in R any tool to find what is this lag? Explain better. Suppose that I have a linear relationship

Hello, I''ve done potencial replacement for RoR''s routing mechanism. It just works as an independent class so you can try bundled examples withou installing anything else. I didn''t integrated it into Rails (as a plugin?) because I don''t know if anyone would appreciate it etc. SiteMapper features: -------------------- 1. uses regexp mask to get variables from

Hi, I have a small simple data frame (attached) - to compare diversity of insects encountered in disturbed and unditurbed site. What i have is the count of insects - the total number of times they were encountered over 30 monitoring slots. Can someone please check for me to make sure how the 'community data matrix' for the diversity function needs to be oriented so that i'm

plot(1,2, ylab= paste("insects", expression(m^2), sep=" ")) I get insects m^2 I would like m to the 2 what is the problem? -- Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being

Hello list! I have a problem with the function 'persp'. I have a data set with the variables X -> The X coordenate of the insect Y -> The Y coordenate of the insect deep-> how deep the insect buried into the soil. I would like to have a plot with a surface simulating the way the insect buried. Is it possible? If I type persp(x,y,deep) R gives me this error message Error in

Justin, You have an interesting problem, and a serious (reliable) consultation would take more time than I have to give at the moment. Which is to say that you should take these comments with a grain of salt. First, I don't think that you have censored data. You have 2 subdistribution functions F1(t) and F2(t), F1(t) + F2(t) = F(t) = the "time to endpoint" distribution.

Dear List, I posted this in R-mixed and did not receive any feedback. I might post it in the wrong place. I re-post in R-help and hope to receive any suggestions and\or thoughts regarding data analysis. The objective of the study is to investigate effects of soil properties on insect outbreaks. There are four study fields (or sites). Data were collected from 1996 through 2009. Below is

...e GLM works properly: mydata[1,2]=1 g=glm(response~traitment, data=mydata, family=poisson) anova.glm(g,test="Chisq") summary(g) ##################################################################################### END ## Antonin Ferry (PhD) "Laboratoire d'Ecobiologie des Insectes Parasitoides" http://www.parasitoides.univ-rennes1.fr Universit? de Renes1, FRANCE

Hi R-helpers, I have a dataframe (called data) with trees in rows (n=100) and insect species (n=10) in columns. My tree IDs are in a column called TREE and each species has a column labeled SPEC1, SPEC2, SPEC3, etc... I wish to randomize the values in my dataframe such that row and column totals are held constant, i.e. in my randomized data each tree will have the same number of individual

Dear R users, x-values (EI) = Adw, EG1, LA1, Ad1, LA2, LA3...(14 levels, insect stages) y-valus = antpop within the boxplot function x-values are ordered alphabetically Idea: x-values ranked by list order (insect stage: Egg stage 1 is followed by Larvae 1 and not by Egg stage 2 as it would be in an alphabetically order) Problems with the order(tapply()) function: variable lengths

Dear all, How can I analyze a life table (e.g. for a cohort of insects) in R? I have 20 insects in 200 cages with two different treatments, whose survival is followed over time, such that, e.g., in one treatment, the number of animals surviving is c(20,18,16,12,10,8,4,0), while in the other treatment the survival is c(20,20,18,18,16,15,15,14) at 8 subsequent time intervals. I would very

I have written a function that goes through a database and calculates various metric scores and allocates them to a data set. For 400 of the 500 sites that I calculate these metrics for works fine and allocates the scores into the appropriate column. For some reason, some sites I run into the below problem: Here is what I am doing: > names(orig.metric) [1] "BenInsect"

Hi everyone! I am a biologist from Argentina and have to solve this problem. I have an insect population obtained from 10 different nests and need to know its sex ratio. But as I cannot ensure insects independence I need to run a model where I can include the variable “nest” as with a random effect. The response variable has a binomial distribution (males or females). I’ve been reading for a while

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)

Sorry, I forgot to write that the SIP peer must keep ringing while the announcement is being played. Le 22/08/2016 ? 17:42, John Kiniston a ?crit : > This seems like the obvious answer but maybe I'm misunderstanding the > question. > > exten => s,1,Dial(SIP/alice,20) > same => n,Playback(myannouncement) > same => n,NoOP(Whatever else you want to do goes

I am trying to apply this technique (M.J Anderson 2001) to a dataset of aquatic insect abundances. There is a sample in the unrestored and restored segement of a stream for every time period. I would like to compare the centroids of the distance matrices for the treatments up (unrestored) and dn (restored) to see if there is a difference in insect communities between the treatments. I will not

Hello all: I'm attempting to run a Cox proportional hazards function on survival data from insects and I have a few questions. My current command that I'm using to call the model is as follows (using coxph() from the survival library): coxph(Surv(day, censor) ~ treatment + room + chamber %in% treatment, data = data.table) Day indicates which day a particular observation occurred, and

I read through Harrington and Fleming (1982) but it is beyond my statistical comprehension. I have survival data for insects that have a very finite expiration date. I'm trying to test for differences in survival distributions between different groups. I understand that the medical field is most often dealing with censored data and that survival analysis, at least in the package survival,

I'm trying to make a glmm to identify the relationship between insect species richness with fragment size, isolation and time (different years). I already tried to analyse it using poisson distribution error, but I always face with the following warning: *glm.fit: fitted probabilities numerically 0 or 1 occurred * This is probably hapenning because my dataset has a lot of zeros. So, what

Hi, I'm a PhD student and I want to use the function 'daisy' from the package 'cluster' to compute dissimilarities. My variables are of mixed types so I use the argument 'stand' in daisy to define the type of my variables. I have the following error message : Warning message: binary variable(s) 13, 16, 17, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,