search for: modelb

...rget of assignment expands to non-language object". The linear model runs without error; only the name is problematic. Here is the current loop syntax. The use of dat and dat2 is not an error. I'm pulling data from 2 sources for the model. for (i in 1:dim(dat2)[[1]]) { assign("modelb",i) <- lm(log(dat$flux) ~ dat$Tsoil_flux, subset = dat$chamber == dat2$chamber[i] & dat$year == dat2$year[i] & dat$doy >= dat2$day1[i] & dat$doy <= dat2$day2[i]) dat2$coef[i] <- coef(assign("modelb",i, sep = ""))[[2]] dat2$Rsq[i] <- summary(assig...

...************************ Georg Ehret, Johns Hopkins U, Baltimore MD, USA for (i in 16:nmax){ line<-scan(file=paste(file),nlines=1,skip=(i-1),what="integer",sep=",") d<-as.numeric(line[-1]) name<-line[1] modela <- lm(s1~a+a2+b+s+M+W) modelb <- lm(s2~a+a2+b+s+M+W+d) modelc <- lm(s3~a+2+b+s+M+W+d+d*s) p_main <- anova(modela,modelb)$P[2] p_main_i <- anova(modela,modelc)$P[2] p_i <- anova(modelb,modelc)$P[2] cat(c(name,p_main,p_main_i,p_i),file=paste("out",".txt",sep=&quo...

...'ve been working at for a little while but I can''t seem to get the error messages to appear correctly. My form looks something like this for "ModelA": [errors_for "modelA"] [form for "modelA"] [text "modelA" "fieldname1"] [text "modelB" "fieldname2"] [submit] [/form] The reason for this is I can create many modelB''s for each modelA but when I create modelA I want it to create the first modelB with it. So... In my Model: class ModelA validates_presence_of :fieldname1 has_many :modelBs validates_associa...

Hello all, I have two comboboxen, comboA is popultaed when :controller/list is retrieved first time. When comboA is selected, I want to auto-populate comboB (modelB belongs_to modelA). The population of tableC (modelC belongs_to modelB and belongs_to modelA) should not populate until a "GO" button is clicked (link_to with submit). Help? I need an example of how to filter the post @params and also how to preserve teh selections when "GO" is...

I have a template that belongs to a certain model (model A). I need to call a helper method of a different model (model B). Then I need the helper method of B to call a helper method of model C. I tried using "include" and "require" and using namespaces, but I got "undefined method". What is the way to do it? -- Posted via http://www.ruby-forum.com/.

...I have therefore been trying to speed the process and limit the memory usage. Here follows part of the code do give better understanding of what I am doing: modela <- lm(RSSYS10 ~ RS_AGE + RS_AGESQ + SEX + RS_BMI) frssys <- function(SNP_A1,data=sys_pheno, model=modela){ modelb <- lm(RSSYS10 ~ RS_AGE + RS_AGESQ + SEX + RS_BMI + SNP_A1,data=data) modelc <- lm(RSSYS10 ~ RS_AGESQ + SEX + RS_BMI + SNP_A1 * RS_AGE,data=data) p1 <- anova(model,modelb)$P[2] p2 <- anova(model,modelc)$P[2] p3 <- anova(modelb,modelc)$P[2] } result_matrix <- appl...

...lly. I tried to replicate an analysis I did previously in SPSS using R, and was surprised to find different results. So my question is: shouldn't the following SPSS syntax REGRESSION DEPENDENT INC89 /METHOD=ENTER hiedyrs experien SE93rec. Yeld the same results of the following R command modelB<-lm(INC89~HIEDYRS+EXPERIEN+SE93REC) I assume the is some difference in some default options.Or maybe it was a problem when the data was imported. After using the read.spss in the foreign package, I got the following warning message: Unrecognized record type 7, subtype 16 encountered in system...

I use model comparison with glms without mixed effects with anova(modelA,modelB), with mixed effects glm (glmmPQL), this doesn't work. Is there a way to compare model fits with glmmPQL's? Paula M. den Hartog Behavioural Biology Institute of Biology Leiden Leiden University [[alternative HTML version deleted]]

Hello, I''m using find_with_ferret to search multiple models and it works great. The trouble is I need to filter the results using :include and :conditions. I get two errors depending on the syntax I use in the search. Reading the source, I see the retrieve_records method seems to filter the :include and :conditions so that they only apply to the relevant model when searching

...ns. Is there a way to do this in the lmer package? When i put it in directly: model<-lmer(binom~season*group+(1|group/individual),binomial,data=data1) I get an error messgae: Warning message: In mer_finalize(ans) : gr cannot be computed at initial par (65) The model runs with the following: modelb<-lmer(binom~season*(1|group)+(1|group/badger),binomial,data=data1) or modelb<-lmer(binom~season+(1|group/badger)+(1|group:season),binomial,data=data1) but here I guess I am modelling it as part of the random effect so can't plug out coefficients for the different groups in different seas...

Hi folks. If I am indexing ModelA and ModelB and I want to search both of them, I usually just pick one arbitrarily and use it for #multi_search. Is there a slicker pattern, regarding from which model to invoke #multi_search? Can it be invoked directly from the Ferret library? Has anyone put together some sort of "dummy" sear...

Hi all, I have a question regarding the duplication of a model and it''s associations. For example, if I have ModelA and it has_many SubModelAs and has_many SubModelBs associated with it. Each of the SubModels a belongs to ModelA. Is there a quick way of copying ModelA and the structure that lays below it? In the end I''ll then end up with ModelB which is a copy of A, and it has copies of SubModelA and SubModelB records. Cheers, Diego --~--~---------~--...

...oks like acts_as_taggable is not the best piece of code, and I''m hoping to use the has_many_polymorphs plugin from http://github.com/fauna/has_many_polymorphs/tree/master. After installing this plugin, and generating a tagging framework using the builtin script/generator tagging ModelA ModelB Tag --self-referential command, I am unable to use the tags, and instead receive the following error ActiveRecord::Associations::PolymorphicError: You can''t have a self-referential polymorphic has_many :through without renaming the non-polymorphic foreign key in the join model. Do...

Has anyone programmed condition indexes in R? I know that there is a function for variance inflation factors available in the car package; however, Belsley (1991) Conditioning Diagnostics (Wiley) notes that there are several weaknesses of VIFs: e.g. 1) High VIFs are sufficient but not necessary conditions for collinearity 2) VIFs don't diagnose the number of collinearities and 3) No one has