Re: [R] axis labels not showing

It's very simple my boy!! Do you already to play with mar? So..Try to change the values this object. For example, par(..., mar=c(*5*,2,2,2)). Bye! -- View this message in context: http://r.789695.n4.nabble.com/axis-labels-not-showing-tp4541268p4541354.html Sent from the R help mailing list

[R] Help ordinal mixed model!

Good afternoon, gentlemen! After several days studying and researching on categorical data (various forums with answers from the owner of the library - all incipient) how to interpret the output the function MCMCglmm, come to enlist the help of you, if someone has already worked with MCMCglmm

[R] To add cut-off points in surface response with lattice

Good morning gentlemen! I'm not a fan of the lattice due to a large number of procedures what should be done to reach a simple goal, but have confess that in some cases the graphics are way better than the graphics. Some days I have been searching without success as is to add a cut-off point on

[R] The nls2 function automatically prints the object!

Good morning gentlemen! When I use the function nls2, and store it in an object, that object is automatically printed, without the summary or to draw the object. For example. model - nls2 (...) Number of iterations to convergence: ... Achieved convergence tolerance: ... Nonlinear regression

[R] How using the weights argument in nls2?

Good morning gentlemen! How using a weighted model in nls2? Values with the nls are logical since values with nls2 are not. I believe that this discrepancy is due to I did not include the weights argument in nls2. Here's an example: MOISTURE - c(28.41640, 28.47340, 29.05821, 28.52201,

[R] Res: How to use the function glht of multcomp package to test interaction?

Hi Richard, First thank you for your attention. Actually the way it approached the examples of statements do not like a lot, because the calculations are done separately for each factor of interest to the interaction. Why will not it pleases me so much? Tukey's tests as for example using the

[R] How to use the function glht of multcomp package to test interaction?

It's been a few weeks I'm racking my brains on how to use the function glht the package multcomp to test interactions. Unfortunately, the creator of the package forgot to put a sample in pdf package how to do it. I have looked in several places, but found nothing. If someone for the love of God

[R] Split-plot design in GLM with only fixed factors.

Good evening gentlemen! I have a test in split-plot with randomized block design where my answer is a binomial variable. I wonder if there is any way I can calculate the probability of my factors considering the design errors in the case are two. I looked at various threads here and elsewhere,

Re: [R] Res: Using the zero-inflated binomial in experimental designs

Hi Ben! Following his recommendations I did the following: 1st step: I compared the best model for binomial and binomial inflates. 1.1 Best model for Binomial. dg$resp.mumi - cbind(dg$MUMI,dg$NT - dg$MUMI) dg names(dg) mod.mumi.binomial - glm(resp.mumi ~ factor(PARTO)*REG, family=binomial,

[R] Using the zero-inflated binomial in experimental designs

I'm trying to use the inflated binomial distribution of zeros (since 75% of the values are zeros) in a randomized block experiment with four quantitative treatments (0, 0.5, 1, 1.5), but I'm finding it difficult, since the examples available in VGAM packages like for example, leave us unsure of

[R] Res: Using the zero-inflated binomial in experimental designs

: Terça-feira, 18 de Maio de 2010 13:34:01 Assunto: Re: Using the zero-inflated binomial in experimental designs Ivan Allaman ivanalaman at yahoo.com.br writes: I'm trying to use the inflated binomial distribution of zeros (since 75% of the values are zeros) in a randomized block experiment