similar to: S-mode PCAs

Dear all: Subjects were measured two times (t1 and t2) on different variables (v1 ... vn). Between t1 and t2 there was an experimental manipulation. I computed two PCAs for time-points t1 and t2. Is it possible to combine both PCAs in order to get only one set of eigenvectors? Due to the experimental manipulation measurement values on time points t1 and t2 changed for each subject. Many

Hi, this may sound like a very stupid question and perhaps it is, so I apologise in advance if anyone feels bored by it. I have done some principal component analysis with prcomp and what I would like to do is to visualise the effect of a principal component, i.e. show a graph of my data and then show how that graph would change if I go, let's say, one standard deviation, in either

Hi all, Is there any code to run fixed effects Tobit models in the style of Honore (1992) in R? (The original Honore article is here: http://www.jstor.org/sici?sici=0012-9682%28199205%2960%3A3%3C533%3ATLALSE%3E2.0.CO%3B2-2) Cheers David [[alternative HTML version deleted]]

Marine Spatial Modeler/Quantitative Ecologist position Full-Time/Exempt (Salaried) contract position with CSS-Dynamac (40 hrs per week) Job ID: 2016-1790 Location: Silver Spring, MD, USA; National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) Posted Date: 11/29/2016 Category: Science/Engineering Security Clearance Level: National Agency Check

> library(SpatioTemporal) > library(plotrix) > library(maps) > palay.cov<-read.csv("C:/Users/BEDANA-PC/Desktop/STThesisWD/Thesis Data/palay.covar.csv") > palay.o<-read.table("C:/Users/BEDANA-PC/Desktop/STThesisWD/Thesis Data/palay.obs.txt") > palay.obs<-as.matrix(palay.o) > palay.stc<-read.table("C:/Users/BEDANA-PC/Desktop/STThesisWD/Thesis

Hi, I'm trying to compute  the spatiotemporal correlation matrix by using Delta Kronecker products of spatial and temporal correlation matrix  in R, but didn't find any delta Kronecker's operator in R. The operators in matrix such as multiplication, addition, eigen values/vector and etc is easily to find and used. Could someone help me, please? Cheers. Firdaus

R help, How would I input data, verify assumptions, and run a nested repeated measures ANOVA using R? I have STATION nested in SITE nested in BLOCK with measurements repeated for five YEARs. All are random variables and it's only slightly unbalanced. I'm trying to characterize spatiotemporal variation in stream habitat variables. Thanks for your help! Eric Merten

Sense Networks is looking for a data scientist with a thorough background in applied statistics, data visualization and exploration. Our data are typically location-referenced so experience in working with spatial data is a great plus. Having worked with "big" data on multiple server architectures is another valuable asset. We are looking for candidates who pay attention to details but

Wildlife Statistician/Spatial Modeler ? Silver Spring, MD Seeking a Wildlife Statistician/Spatial Modeler with demonstrated experience fitting advanced statistical spatial/spatiotemporal models to wildlife survey data. The statistician/modeler will conceive and execute spatial analyses and generate predictive maps of coastal and marine species distributions to support coastal planning. The

Hi all, I am doing bootstrap on a distance matrix, in which samples have been drawn with replacement. After that I do PCA on a resulted matrix, and these 2 steps are repeated 1000 times. pca(x) is a vector where I wanted to store all 1000 PCAs; and x is from 1 to 1000 SampleD is a new matrix after resampling; I am getting the following error message, which I don't understand: ....

I have a data assimilation problem that might be amenable to the use of GAMS, but I am not sure how feasible it is to implement. I was told the R mailing list was a great resource. My observations are spatiotemporal salinity in the San Francisco Bay at a number of instruments over a few days. The thing that I want to fit is the initial condition for a salt transport model at the beginning of this

Hi, I've had some issues with rsync over ssh with version 2.4.4 which an update to 2.4.6 fixed. The problem I have now is that machines which do not have a valid reverse dns entry for their IP addresses get empty directory listings from the server, even though they can get the module list and the motd each time. This is what I see in the server's log file for each attempt from such hosts

> On Aug 14, 2017, at 12:22 PM, fs <mail at friedrich-schuster.de> wrote: > > Hi, and sorry for asking such an unspecific question. > > Does anybody know of statistical / data mining methods that are available in R > that are not in SAS ? With SAS I mean the SAS System Version 9.4 and SAS > Enterprise Miner. I don't expect a complete list, just two or three

R users, I have been trying to write a program in R that will extract rows from a data frame and combine the rows into a new smaller data frame while meeting several criteria. I would greatly appreciate any advice that could help me get started down the right path. What I want to do is to extract two rows WEEK (26 weeks total) from the data frame by sampling without replacement from the

Hi everyone, I'd like to project two pcas onto one device window. I plot my first PCA: biplot(prcomp(t(cerebdevmat)), var.axes=FALSE, cex=c(1,.1), pc.biplot=TRUE) Now I'd like to project the features of another PCA onto this graph. Any suggestions? I know this is easily done in MatLab but haven't figured it out in R. Thanks, Tanya [[alternative HTML version deleted]]

Hi there, I am plotting relative warp scores (equivalent to pca scores) and I want to label (color code and shape) the points by group. I can't figure out how to do this beyond simple plotting. plot(RW1, RW2); Do I need to make vectors of each group and then plot them separately onto the same plot? How do I go about this? Thanks! -- View this message in context:

Hi all, I'm new to PCA in R, so this might be a basical thing, but I cannot find anything on the net about it. I need to make a PCA plot with two response variables (df$resp1 and df$resp2) against eight metabolites (df$met1, df$met2, ...) and I don't have a clue how to do... and I've only used the simplest PCAs before, like this: pcaObj=prcomp(t(df[idx, c(40:47)]))

Hi, I have compiled Samba 2.2.3a on Solaris 8 7/01 to produce 64 bit binaries and to use the 64 bit i/o functions. The compiled code has been installed on two identical Sun Servers, the key differences between the configurations is that one has the maximum number of file descriptors set to 65000 (Solaris configured for 65356) and has op locks disabled because it is being used with Clear Case.

R-Experts: Does anyone know if there are R functions to perform the Freeman-Tukey double arcsine transformation and then backtransform it? Thanks, Brant Inman Mayo Clinic

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