search for: alexbri

Displaying 6 results from an estimated 6 matches for "alexbri".

2005 May 19
2
plot question
hi all: xlim and ylim are used to define the interval limits of a plot. I'm interested in the scale of values between this limits. suppose xlim=c(0,10) we can have e.g. 0 5 10 0 2 4 6 8 10 0 1 2 3 4 5 6 7 8 9 10 which is the parameter that allows me to modify this? thanks in advance alexandre
2005 Mar 19
2
simple problem, but not for me
...data frame) I think this is easy for those who are used to work in R (and I suppose there are many different ways), but I can make it in this moment, because I cannot leave behind, the "excel thinking way". I hope you understand my problem and please, help me soon. Alexandre alexbri at netcabo.pt
2007 Mar 28
10
How to log SQL Create,Update,Delete only?
Hi everyone, Does anyone know of a way to log SQL statements (but without the SELECT queries)? I would like to keep track of the changes made to the database, but I don''t want the log file to be flooded with SELECT statements (I am using the default logger at debug level). Is it possible to do that with the rails logger? -- Posted via http://www.ruby-forum.com/.
2005 Jul 08
1
explained deviance in multinom
Hi: I'm working with multinomial models with library nnet, and I'm trying to get the explained deviance (pseudo R^2) of my models. I am assuming that: pseudo R^2= 1 - dev(model) / dev (null) where dev(model) is the deviance for the fitted model and dev(null) is the deviance for the null model (with the intercept only). library(nnet) full.model<- multinom(cbind(factor1,
2005 Apr 10
2
residuals in VGAM
Hi all: I want to fit a multinomial logit model with VGAM package, however I cannot find a way to check the residuals since residuals(my_model) and resid(my_model) does not work. Any suggestions? Thanks in advance. Alex Brito [[alternative HTML version deleted]]
2005 Apr 12
1
factors in multinom function (nnet)
Dear All: I am interested in multinomial logit models (function multinon, library nnet) but I'm having troubles in choose whether to define the predictors as factors or not. I had posted earlier this example (thanks for the reply ronggui): worms<- data.frame(year= rep(2000:2004, c(3,3,3,3,3)),age=rep(1:3,5),