search for: sstypes

Hello, It seems that, unlike Splus, the anova.lm function of R does not take the argument ssType=3 into account. How can one get an anova table with the adjusted sum of squares in R? Thanks in advance, Patrick Giraudoux University of Franche-Comté Department of Environmental Biology EA3184 af. INRA F-25030 Besançon Cedex tel.: +33 381 665 745 fax.: +33 381 665 797 http://lbe.univ-fcomte.fr

Dear R people: I wish to switch from SPSS to R, but there is one particular type of ANOVA design that cannot be done in R. Or more likely, it can be done, but it is nowhere documented. The problem is typical for psychologists: You have a repeated measures design with different groups of subjects. Now, this can be done with the aov command, but the number of subjects in both groups must be

I have two questions I would appreciate assistance with: (1) I believe "by" is the command used to split a file. In the following example, "mydat" is the dataframe , "group" the variable I want to split the analysis by & "WK1FREQ,WK2FREQ" the variables attach(mydat) by (GROUP) cor.test (WK1FREQ,WK2FREQ) I have also tried: (by (GROUP) cor.test

I'm an SPSS user trying to make the transition to R. Can someone help me translate the following SPSS code into R?: GLM Total_tp1 Total_tp2 WITH Age Sex   /WSFACTOR=Time 2 Repeated   /METHOD=SSTYPE(3)   /CRITERIA=ALPHA(.05)   /WSDESIGN= Time   /DESIGN= Age Sex Age*Sex. Also. can anyone recommend any resources to help SPSS users learn to things in R? Thanks, -kristi [[alternative HTML

When you use the 'general linear model' analysis in SPSS, the first result is a table with all terms with F-tests and significance values for all IV's. It uses http://joyx.joensuu.fi/~ek/anova/sstypes.txt SS Type III , which has the advantage that the order in which the variables are added to the model does not matter, and therefore it is relatively objective. I would like to reproduce this output in R. However, when using anova(glm.object, test="F"), the F test shows "Terms adde...

Hello, I use lme4 package. library(lme4) fit=lmer(y ~ time+dye+trt+trt:time + (1|rep), data=dataset, na.action='na.omit') anova(fit) The anova gives sequential F-tests and sequential SS. My question is: how I can get partial F-tests and partial SS? For lm (not lmer) anova(lm(y~x+z)) we can use anova(fit, ssType=3) but it is not work for lmer. Natalia.

Hello everybody, This is my firth question in this mailing list. The question is about the how to deal with a model with both random and fixed factors. I know to do the analysis using SPSS. The command line wit be as follows: UNIANOVA alpha.ug.mg BY Line Year Rep /RANDOM=Year Rep /METHOD=SSTYPE(4) /INTERCEPT=EXCLUDE /PRINT=HOMOGENEITY /CRITERIA=ALPHA(0.05) /DESIGN= Year Rep*Year Line

Greetings. I'm trying to replicate an analysis I did a few years ago, then in SPSS, using the SPSS GLM command: GLM n_diffpt WITH age_i inc_i join_i work_i educ_i give_i cs_i eff_i age_a inc_a join_a work_a educ_a give_a cs_a eff_a /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /PRINT = PARAMETER ETASQ RSSCP GEF /CRITERIA = ALPHA(.05) /DESIGN = age_i*age_a inc_i*inc_a

Hello, I'd like to propose an extension to the function summary.aov. In Splus (2000, I don't know about other versions), summary.aov allows a parameter ssType to be set to 1 or 3 (defaults to 1) to choose the type of Sums of Squares. I know I can get Type III SS in R with drop1(model), but including the functionality into summary.aov would, in my opinion, - yield a more usable table

dear all, i'm trying to reproduce an spss-anova in R. It is an 2x3x3 repeated measures desingn with repeated contrasts. In R i've coded a contrast matrix for all factors and made a split in the aov summary - but I can't get the repeated interaction contrasts. The output from SPSS looks like this: TaskSw * CongNow * CongBefore: SS df Mean Square F Sig. 1 vs. 2 1 vs. 2 1 vs. 2

Dear R-Helpers, I would like to know what syntax I need to use to do a nested anova for 1. a continuous variable and 2. count data (x out of y) 1. The first I used to do in SPSS and I would like to be able to do it in R as well. This is the hierarchical model I would like to use: a continuous variable explained by factor A(fixed) + factor B(random) nested in A + factor C (random) nested in

I have taken the liberty of including the R-help mailing list on this reply as that is the appropriate place to discuss lmer results. On 4/5/06, Andreas Svensson <andreas.svensson at bio.ntnu.no> wrote: > Hello again > I have now recieved some helpful hints in this matter and will summarize them but first let me reiterate the problem: > > I had two treatments: 2 types of food

Dear, I am having problem importing data from other packages or spreadsheet to R. The data file contains characters and numerics variables. r-help-request@r-project.org wrote: Send R-help mailing list submissions to r-help@r-project.org To subscribe or unsubscribe via the World Wide Web, visit https://stat.ethz.ch/mailman/listinfo/r-help or, via email, send a message with subject or

I have a two part question one about statistical theory and the other about implementations in R. Thank you for all help in advance. (1) Am I correct in understanding that Heteroscedasticity is a problem for Generalized Additive Models as it is for standard linear models? I am asking particularly about the GAMs as implemented in the mgcv package. Based upon my online search it seems that some