search for: insects

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 r...

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 t...

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,...

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

...ich 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. With censored data you would have some insects whose endpoint had not been observed, e.g., it's time to write the paper and some of the durn things have neither emerged nor died yet. How best to model this data is a larger and harder question. What you have done with coxph, creating an artificial censoring at the time of the compe...

...68 293 279 0 As you can see, data were not collected in some study sites in some years and sampling numbers per site per year are also vary. Sampling was conducted every 8 feet in each study site. Investigator recorded GPS (long and lat) of each sampling point. Within each sampling point, soil insects were collected and counted and soil data were also collected from each sampling site only in 2007. Investigator assumes that soil properties (e.g. pH, Mg, Ca, lime, etc) are relatively consistent year to year. Thus, measurements of soil properties in 2007 were applied to other years. So, GPS rea...

Dear members, here is my trouble: My data consists of counts of trapped insects in different attractive traps. I usually use GLMs with a poisson error distribution to find out the differences between my traitments (and to look at other factor effects). But for some dataset where one traitment contains only zeros, GLM with poisson family fail to find any difference between this...

...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 insects as in the real data (constant row totals) and each species will have the same number of individuals as in the real data (constant column totals). I will eventually want to do this many times, but I would appreciate help getting started with the randomization. Thank you, Mark Na [[alternative HT...

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...

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 and found the MASS and lmer packages that will allow me to do such a thing with my data. I found th...

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)

...write a sonnet, balance > accounts, build a wall, set a bone, comfort the dying, take orders, > give orders, cooperate, act alone, solve equations, analyze a new > problem, pitch manure, program a computer, cook a tasty meal, fight > efficiently, die gallantly. Specialization is for insects. > ---Heinlein > > -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.digium.com/pipermail/asterisk-users/attachments/20160822/27fc83e0/attachment.html>

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 cens...

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, is largely built around th...

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,