Displaying 6 results from an estimated 6 matches for "alexbrie".
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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
Hello, I'm new in R and I want to do one thing that is very easy in excel, however, I cant do it in R.
Suppose we have the data frame:
data<- data.frame(A=c("a1","a2","a3","a4","a5"))
I need to obtain another column in the same data frame (lets say B=c(b1,b2,b3,b4,b5) in the following way:
b1=a1/(a1+a2+a3+a4+a5)
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),