search for: psme

Displaying 5 results from an estimated 5 matches for "psme".

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2017 Nov 27
0
How to extract coefficients from sequential (type 1) ANOVAs using lmer and lme
...evecoefficients are wrong. Specifically, it looks like that the coefficients arefrom ANOVA with ?marginal? (type III sums of squares). I have tried both lme (nlmepackage) and lmer (lme4 + lmerTEST packages). Examples of the results arebelow: ? ? > #mixed-effect modelusing lme >model.short.psme.bulk.d13c.3 <- lme(isotopebulk_add_log ~narea+sampleheight, random= ~1|tree, +??????????????????????????? data =ht_data_short_psme, na.action = na.exclude) > ? >anova(model.short.psme.bulk.d13c.3, type ="sequential") ???????????? numDF denDF?? F-value p-value (Intercept)?...
2017 Dec 07
2
parallel computing with foreach()
...code without reproducible example. In short, each R environment will draw a set of separate files, perform the analysis and dump in separate folders. splist <- c("juoc", "juos", "jusc", "pico", "pifl", "pipo", "pire", "psme") covset <- c("PEN", "Thorn") foreach(i = 1:length(splist)) %:% foreach(j = 1:length(covset)) %dopar% { spname <- splist[i]; spname myTorP <- covset[j]; myTorP DataSpecies = data.frame(prsabs = rep(1, 10), lon = rep(30, 10), lat = rep(80, 10)) myResp = as.numeri...
2011 Feb 25
4
means, SD's and tapply
...0.4684844193 0.0063739377 CONU JUCA JUOC LIDE PIAL PICO PIJE 0.0017705382 0.0003541076 0.0959631728 0.0138101983 0.3905807365 1.5651558074 0.2315864023 PILA PIMO PIMO2 PIPO PISA POTR PSME 0.1774079320 0.1880311615 0.0311614731 0.6735127479 0.0237252125 0.0506373938 0.2000708215 QUCH QUDO QUDU QUKE QULO QUWI Salix 0.0474504249 0.1203966006 0.0000000000 0.2071529745 0.0003541076 0.0548866856 0.0003541076 SEGI...
2006 Sep 20
1
problem coercing truncated character vector to levels
Dear R wizes, I have a data.frame of species abundances with column names consisting of 4 letter codes then an underscore and a number like this: abco_1, abco_2, abco_3, psm_1, psme_2, psme_3, etc. I would like to get an identifier for all the abco, and psme and other species etc. I used spec.fact<-substring(names(spec.count),1,4) To make a vector of the first 4 letters of each name. I tried using spec.groups <- unique(spec.fact) and then matc...
2017 Dec 07
0
parallel computing with foreach()
...gt; example. > > In short, each R environment will draw a set of separate files, perform the > analysis and dump in separate folders. > > splist <- c("juoc", "juos", "jusc", "pico", "pifl", "pipo", "pire", "psme") > covset <- c("PEN", "Thorn") > > foreach(i = 1:length(splist)) %:% > foreach(j = 1:length(covset)) %dopar% { > > spname <- splist[i]; spname > myTorP <- covset[j]; myTorP > > DataSpecies = data.frame(prsabs = rep(1, 10), lon = rep(30,...