similar to: Time trends with GAM

Hi all, I am not sure how to handle interactions with categorical predictors in the GAM models. For example what is the different between these bellow two models. Tests are indicating that they are different but their predictions are essentially the same. Thanks a bunch, > gam.1 <- gam(mortality.under.2~ maternal_age_c+ I(maternal_age_c^2)+ + s(birth_year,by=wealth) + +

i know it''s probably really simple, how do i work out someone''s age if i have their d.o.b. stored as a date in my db. cheers -- Posted via http://www.ruby-forum.com/.

Hello, There is a task to derive a linear trend, for ex. 5 units/month for values located at the georeferenced global latidute-longitude grid. There are several grids corresponding to time steps, say for a month with 6 hour interval. Sure, one can create a loop and derive a trend value for each data point. Is there a better practice for this task to express it in a line or two or a dedicated

Dear List, First off, this is completely off topic, but I thought others might find it interesting. The good people at IBM are apparently providing written interpretations of results now. I was working with a student the other day with simple nonparametric tests using SPSS, and under the nonparametric test tab, it defaulted to something like "Let SPSS decide which test to use". Even

Hi all see $subj http://www.google.com/trends?q=llvm congrats! P.S. sorry if known. best regards -- Valery A.Khamenya -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20080318/2bfc6887/attachment.html>

Google trends will display results for pretty much any query you can think of On Mon, Mar 17, 2008 at 7:16 PM, Valery Khamenya <khamenya at gmail.com> wrote: > Hi all > > see $subj > > http://www.google.com/trends?q=llvm > > congrats! > > P.S. sorry if known. > > best regards > -- > Valery A.Khamenya > _______________________________________________

Your email client cannot read this email. To view it online, please go here: http://marketing.pakinsight.com/display.php?M=511091&C=685533cf6093ad7b09d6e7ffdc359a4b&S=11&L=12&N=6 To stop receiving these emails:http://marketing.pakinsight.com/unsubscribe.php?M=511091&C=685533cf6093ad7b09d6e7ffdc359a4b&L=12&N=11 Powered by Hairyspire -------------- next part

Odhiambo Washington <odhiambo at gmail.com> wrote: > Traceback (most recent call last): > File "./main.py", line 304, in <module> > message_infos = GetMessageInfos(opts) > File "./main.py", line 104, in GetMessageInfos > for mailbox in m.GetMailboxes(): > File "/scripts/mail-trends/mail.py", line 61, in GetMailboxes >

I have data on every grade in all elementary schools in Chicago over 5 years. I would like to estimate a trend over time for each grade in each school. There are 17,600 data all together (about 460 schools, nearly 8 grades each, over 5 years). Is there a not-so-hard way to do this in R (I was thinking of using rlm)? ______________________________________________________________________ Stuart

-----Original Message----- Message: 6 Date: Mon, 20 Jan 2003 01:11:24 +0100 From: Martin Michlmayr <tbm at cyrius.com> To: r-help at stat.math.ethz.ch Subject: [R] quadratic trends and changes in slopes I'd like to use linear and quadratic trend analysis in order to find out a change in slope. Basically, I need to solve a similar problem as discussed in

Dear All, I am given some noisy data which (by naked eye) appears to be oscillating first but finally growing. Is there any statistical set (I mean something different from e.g. a linear fit, which would not be convincing at all in my case) to detect growth (possibly without relying on any data fitting)? Many thanks Lorenzo

Dear R-list, I have a statistical problem with the comparison of short time-series, representing densities of fish in different streams. For each stream (6 in total, here below showed only part of the dataset) I have 8 years of density data, as follows: year density stream 1 2000 0.51 stream1 2 2001 0.87 stream1 3 2002 0.68 stream1 4 2003 0.56 stream1 5 2004 0.50 stream1 6

Hi I am struggling to fit a non-linear trend using the likfit function in geoR. Specifically I want a sigmoidal function, something like SSfpl in the nls package to fit the trend. But it seems trend.spatial in geoR only works with lm or glm type models. Any ideas how I can specify the model to calculate the kriging parameters using REML, including the parameters of a sigmoidal trend function

-----Original Message----- Message: 6 Date: Mon, 20 Jan 2003 01:11:24 +0100 From: Martin Michlmayr <tbm at cyrius.com> To: r-help at stat.math.ethz.ch Subject: [R] quadratic trends and changes in slopes I'd like to use linear and quadratic trend analysis in order to find out a change in slope. Basically, I need to solve a similar problem as discussed in

Hi, Out of curiosity, has anyone managed to use mail-trends[0] to analyse their e-mails. I thought about trying it out, but got stuck midstream. The mail-trends scripts work very well with gmail, but because they say it is supposed to work with _any_ IMAP server, I thought I could get it running with Dovecot too. I know this is NOT a mail-trends support group though, but I believe there is

Hi everybody, I'm trying to construct contrasts for an ANOVA to determine if there is a significant trend in the means of my groups. In the following example, based on the type of 2x3 ANOVA I'm trying to perform, does the linear polynomial contrast generated by contr.poly allow me to test for a linear trend across groups? doi=data.frame( Group=c( rep(1, 5), rep(2, 5), rep(3, 5),

I'd like to use linear and quadratic trend analysis in order to find out a change in slope. Basically, I need to solve a similar problem as discussed in http://www.gseis.ucla.edu/courses/ed230bc1/cnotes4/trend1.html My subjects have counted dots: one dot, two dots, etc. up to 9 dots. The reaction time increases with increasing dots. The theory is that 1 up to 3 or 4 points can be counted