Displaying 7 results from an estimated 7 matches for "numal".
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numa
2009 Apr 14
0
disappearing dialog boxes when using tcltk
...uot;, onOK)
tkwait.window(dlg)
return(ReturnVal)
}
##===============================================
## main function
##===============================================
require(tcltk)
ttMain <- tktoplevel()
tkwm.title(ttMain,"Number")
tkdestroy(ttMain)
#initial values are set
numAll = ""
speAll = NULL
yrunit = ""
ttMain <- tktoplevel()
tkfocus(ttMain)
numAll <- as.numeric(modalDialogOK("Number","Put in an
integer greater than 1:",entryInit=numAll))
tkdestroy(ttMain)
while (is.na(numAll) || numAll==0 || numAll==1) {
t...
2007 Dec 07
1
paradox about the degree of freedom in a logistic regression model
...01 ?*? 0.05 ?.? 0.1 ? ? 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 124.8756 on 11 degrees of freedom
Residual deviance: 4.9937 on 8 degrees of freedom
AIC: 43.104
Number of Fisher Scoring iterations: 4
This is the data set used in regression:
numdead numalive sex ldose
1 1 19 M 0
2 4 16 M 1
3 9 11 M 2
4 13 7 M 3
5 18 2 M 4
6 20 0 M 5
7 0 20 F 0
8 2 18 F 1
9 6 14 F 2
10 10...
2006 Aug 21
2
Finney's fiducial confidence intervals of LD50
I am working with Probit regression (I cannot switch to logit) can anybody help me in finding out how to obtain with R Finney's fiducial confidence intervals for the levels of the predictor (Dose) needed to produce a proportion of 50% of responses(LD50, ED50 etc.)?
If the Pearson chi-square goodness-of-fit test is significant (by default), a heterogeneity factor should be used to calculate
2005 Apr 14
1
predict.glm(..., type="response") loses names (was RE: [R] A sugg estion for predict function(s))
...predict.glm example
> ## example from Venables and Ripley (2002, pp. 190-2.)
> ldose <- rep(0:5, 2)
> numdead <- c(1, 4, 9, 13, 18, 20, 0, 2, 6, 10, 12, 16)
> sex <- factor(rep(c("M", "F"), c(6, 6)))
> SF <- cbind(numdead, numalive=20-numdead)
> budworm.lg <- glm(SF ~ sex*ldose, family=binomial)
> ld <- seq(0, 5, 0.1)
> row.names(predict(budworm.lg, data.frame(ldose=ld,
> sex=factor(rep("M", length(ld)), levels=levels(sex))),
> type = "response"))...
2003 Nov 26
3
SYSLINUX 2.08-pre5 released
Goodness, how many prereleases has there been in the last week... have
lost count...
Anyway, I have implemented the already-promised chainbooting API, and
have included a sample program to chainboot floppies (it works for
harddisks too, but only for the MBR.)
As a bonus, in the process I actually discovered that booting .bs/.bss
images under SYSLINUX was actually broken... that has been
2005 Jan 07
4
glm fit with no intercept
Dear R-help list members,
I am currently trying to fit a generalized linear model using a binomial
with the canonical link. The usual solution is to use the R function glm()
in the package "stats". However, I run into problem when I want to fit a
glm without an intercept. It is indicated that the solution is in changing
the function glm.fit (also in "stats"), by specifying
2006 Oct 18
3
creating bins for a plot
Hi. I'm trying to plot the ratio of used versus unused bird houses
(coded 1 or 0) versus a continuous environmental gradient (proportion of
urban cover [purban2]) that I would like to convert into bins (0 -
0.25, 0.26 - 0.5, 0.51 - 0.75, 0.76 - 1.0) and I'm not having much luck
figuring this out. I ran a logistic regression and purban2 ends up
driving the probability of a box being