search for: subpopulations

Hi, is there a way to analyze subpopulations (e.g. women over 50, those who answered "yes" to a particular question) in a survey using Survey package? Other packages (e.g. Stata, SUDAAN) do this with a subpopulation option to identify the subpopulation for which the analysis shoud be done. I did not see this option in the Survey...

...nts. Dependent variable = Herbivory (yes/no) Explanatory continuous variable = Distance to heterospecific source plant Distance should be nested within Subpopulation which in turn should be nested within Population. The number of replicates per subpopulation varies between 8 and 36. The number of subpopulations per population varies between 4 and 9. I haven't figured out how to do nesting, but guessing that nesting is denoted with brackets I guess the syntax should look something like this (below). Could you please help me to correct this syntax so that it becomes useful in R? model<-glm(Herbivor...

Hi, i read something about MECOSA3 (G.Arminger) which is a software to : "Analysis of finite mixtures of conditional Lisrel models" I'm very interested to identify heterogeneous subpopulations and ask me are similar functions doing something in R, too ??? I know SEM and perhaps with some additions/modifications it is possible doing this general mean- and covariance structures with metric and non-metric dependent variables and mixtures of conditional multivariate normal distributed varia...

...I am working with version 2.7.2 on a PC and have 2.8.0 available, but have not upgraded completely yet. I have 6 species for which I've run 6 unique environmental management scenarios against for comparison purposes. Each scenario is run for 36 years (1965 - 2000). Some of the species have subpopulations and other do not. For those with subpopulations (A, B, C, D, E, and F) I have calculated basic summary statistics. I would like to develop a series of barplots for each scenario year consisting of six bars representing the subpopulations. Rather than writing 36 lines of code, I'd like to a...

Dear Helpers   I have a sample frame and i have sampled from it using three methods and now i want to calculate the statistics but i only get the population parameters.   H <- matrix(rnorm(100, mean=50000, sd=5000)) sampleframe=data.frame(type=c(rep("H",100)),value=c(H)) sampleframe   str=strata(sampleframe,c("type"),size=c(20,), method="srswor")

Hi I could only find some discussion on this wrt lattice graphics (which I'm not using). Apologies if I'm missing something obvious. I'd like to produce 3 rug plots under a kernel density plot for a population. The population is subdivided into 3 subpopulations, which I'd like the rug plots to highlight. Naturally, when I do 3 rug plots, they all plot over each other. I'd like 3 parallel rug plots along the x-axis. But how. Thanks in advance, Quin [[alternative HTML version deleted]]

Hi all, This is a statistics question, I hope someone out there will be able to help me. I have one population (oligonucleotide probes spotted on a Nimblegen array). I measured "parameter one" (intensity after hybridisation) and I have selected a subpopulation of the initial (one tenth of the initial) according to a threshold value. I now measure "parameter two" of

...te R-help websites I'm still confused about a problem. I have data which is bimodal in nature, but there is no clearly obvious separation between the two peaks. In programs such as Origin, I can deconvolute the two distributions and have it generate a "best guess" as to what the two subpopulations are which make up my dataset. Below is a link to a figure which represents what I would like to accomplish here (it is the best I can do so far). http://nucleus.msae.wisc.edu/example.html Thanks, Seth Imhoff

I would like to use lattice graphics to plot multiple functions (or groups or subpopulations) on the same plot region, using different line types "lty" or colors "col" to distinguish the functions (or groups). In traditional graphics, this seems straightforward: First plot all the data using 'type="n"', and subsequently execute a series of "point...

Hi, This is a question regarding technique rather than an R specific issue. I have been asked to evaluate a 30+ year long term continuous survey of bird presence/absence data that has an associated ocular estimate of the vegetation community percent coverage. The data are organized by subpopulations (5), and by year ( 1991 - present). We are interested in gaining understanding on whether bird presence is 1) related to vegetation community cover and 2) whether that relationship is variable over the period of record. Ultimately I can associate management to this, but that data has not be pulle...

...showing the shape of the distribution for each year. The data is percentsges of students scoring in each category, summing to 100. There are actually scores for Literacy and Math, so I might display 8 radii instead of the 4 above. And the dataset/graph would be repeated for comparing various subpopulations. Any pointers would be welcomed! Thanks! Albert Crosby Springdale Public Schools Springdale, Arkansas [[alternative HTML version deleted]]

Hello I'm working with a bunch of time series data. The data are downloaded from a server and stored as ascii files prior to reading them into R. After reading the data sets read into R with no problem and I can us the ts function to coerce them to time series, sometimes this works and sometimes it fails. For example. P38_SubB <-

Dear R Community, I am pleased to announce that a new version of the mefa R package is available at the CRAN. mefa is a package for multivariate data handling in ecology and biogeography. It provides object classes to represent the data coded by samples, taxa and segments (i.e., subpopulations, repeated measures). It supports easy processing of the data along with relational data tables for samples and taxa. An object of class mefa is a project specific compendium of the dataset and can be easily used in further analyses. Methods are provided for extraction, aggregation, conversion, plot...

Hello everybody! I have a problem, that might be a quite common one. Often one has some statistics on subpopulations defined by several factors. This is usualy done by tapply resulting in a list. For presentation-tasks, the form of an array might be more advantageos, as ftable in combination with aperm allows for quite nice print. Moreover some html or ps output might be easier to produce. So this is the questi...

Dear R Community, I am pleased to announce that a new version of the mefa R package is available at the CRAN. mefa is a package for multivariate data handling in ecology and biogeography. It provides object classes to represent the data coded by samples, taxa and segments (i.e., subpopulations, repeated measures). It supports easy processing of the data along with relational data tables for samples and taxa. An object of class mefa is a project specific compendium of the dataset and can be easily used in further analyses. Methods are provided for extraction, aggregation, conversion, plot...

...in ANOVA? 4. It's about my response variables. I'm working with mice and we measure multiple variables per mice, however these variables are quite dependente. For example I'm measuring the total number of cells (Resp1) in spleen, and afterwards among these cells, I assess percentage of subpopulations of other cells among splenocytes, in order to have the absolute number, I multiply these percentages by R1 ::: R1 * percentage1 = Resp2. Do I have to do an additional correction due to this? You would save my life Thank you all. -- View this message in context: http://r.789695.n4.nabble.co...

Hi Caitlin and Ben, Thanks for your responses! My issue is that I'd like to create one continuous line, rather than 3 lines overlayed. The code I've attached works for a population of 400 and samples 100 times. I'd like to extend this to 300 samples and 3 populations. So, the x-axis would range from 0-300 samples. What I'm having trouble with is finding a way to change the

...nts. Dependent variable = Herbivory (yes/no) Explanatory continuous variable = Distance to heterospecific source plant Distance should be nested within Subpopulation which in turn should be nested within Population. The number of replicates per subpopulation varies between 8 and 36. The number of subpopulations per population varies between 4 and 9. I haven't figured out how to do nesting, but guessing that nesting is denoted with brackets I guess the syntax should look something like this (below). Could you please help me to correct this syntax so that it becomes useful in R? model<-glm(Herbivor...

Hi everyone, my apologies in advance if I'm overlooking something simple in this question. I am trying to use R's survey package to make a direct method age-adjustment to some complex survey data. I have played with postStratify, calibrate, rake, and simply multiplying the base weights by the correct proportions - nothing seems to hit the published numbers on the nose. I am trying to