similar to: Re gression for loop test HELP! URGENT!

Please explain me as what it means and how this analysis can be done using R and which library(ies) are needed. Thanks -- View this message in context: http://www.nabble.com/Regression-using-age-and-Duration-of-disease-as-a-continous-factors-tp24574133p24574133.html Sent from the R help mailing list archive at Nabble.com.

i have a series of regressions i need to run where everything is the same except for the dependent variable, e.g.: lm(y1 ~ x1+x2+x3+x4+x5, data=data) lm(y2 ~ x1+x2+x3+x4+x5, data=data) lm(y3 ~ x1+x2+x3+x4+x5, data=data) is it possible to run all these regs with a single command? given that the bulk of the work for linear regressions is inverting a matrix that depends only on the independent

Hello In STATA there is command which has regression with clustering option. Can anyone tell me what is the command for the same in R for example in STATA its regress Height Weight, cluster(id) Thanks in Advance Regards Sunita -- View this message in context: http://www.nabble.com/Regression---cluster-option-in-STATA-tp25241948p25241948.html Sent from the R help mailing list archive at

Hi everyone! I'm new to R, and I've sent this message as a non-member, but since it's pretty urgent, I'm sending it again now I'm on the mailing list (Thanks Daniel for your suggestion nevertheless). I have calculated a regression in the form of M ~ D + O + S, and I would like to take this regression and test it with other samples, 5 sets of M, D, O, and S at a time(I actually

Hi, I have a problem regarding sub-register definitions and LiveIntervals on our target. When a subregister is defined, other parts of the register are always left untouched - they are neither read or def:ed. It however seems that Codegen treats subregister definitions as somehow clobbering the whole register. The SSA-code looks like this after isel: (Reg0 and Reg1 are 16bit registers. Reg2,

I have a large dataset grouped by a factor and I want to perform a regression on each data subset based on this factor. There are many ways to do this, posted here and elsewhere. I have tried several. However I found one method posted on the R wiki which works exactly as I want, and I like the elegance and simplicity of the solution, but I don't understand how it works. Its all in the formula

Hi, I am working with CART regression now to predict a probability; the response is binary. Could anyone tell me in which cases it is better to use mean square error for splitting nodes and when mean absolute error should be preferred. I am now using the default (MSE) version and I can see that the obtained optimal tree is very different from the tree with the least mean absolute error. Thanks in

Hi, Previously I posted a thread asking help on how to best-fit (in the least squares sense) a straight line through a set of data points. Thanks a lot to all replying to it. I managed it in Matlab using a function 'fit_3D_data' (link: http://webscripts.softpedia.com/script/Scientific-Engineering-Ruby/Statistics-and-Probability/Orthogonal-Linear-Regression-in-3D-space-35532.html). But to

Hi, I'm sure these are basic problems so I apologise in advance for my ignorance. I have a dataset with X, Y, and a Factor with 4 levels. I am trying to figure out how to use lm() to find the r2 value, slope and intercept of an X~Y regression, for each level of the Factor. Is there a way to do this automatically without having to specify different subsets of the factor? my code so far:

Hi, I am trying to create a scatterplot, coding each point to one of 5 populations. I was successful when I did this for one set of data, yet when I try plotting other data a blank plot appears (although the axes are labelled and I can fit the regression lines from each population). I have tried a variety of things to fix this but nothing seems to work. I can plot the points if I do not

Hi Quentin, On 08/15/14 19:01, Quentin Colombet wrote: [...] >> The question is: How should true subregister definitions be >> expressed so that they do not interfere with each other? See the >> detailed problem description below. > > We do have a limitation in our current liveness tracking for > sub-register. Therefore, I am not sure that is possible. > >

Dear R-experts, Here below my R code working with quite a few warnings.? x11 and x12 are dichotomous variable (0=no and 1=yes). I substract 1 to ignore intercept. I would like not to ignore intercept. How to modify my R code because if I just remove -1 it does not work? y= c(32,45,65,34,23,43,65,76,87,98,7,867,56,45,65,76,88,34,55,66) x11=c(0,1,1,0,0,1,1,1,0,0,1,0,0,1,0,0,1,1,0,1)

Not sure what you are trying to do here. The immediate issue is that you are getting 'y' on the RHS, because that is the 1st column in Dataset. So "for (i in 2:3)" might be closer to intention. However, a 0/1 regresson with no intercept implies that the mean for the "0" group is zero, and with two regressors that the mean is zero for the (0,0) group. Looking at the

I just have a simple question. I'm using the predict function, and I get about 1000 values. Now, how would I make it into a data frame or a list so that I can easily use Excel to graph the data? Right now, it's in horizontal lines, and it would be a pain to copy and paste and make it into a vertical column. Thanks! -- View this message in context:

On Wed, Mar 30, 2011 at 11:17 AM, Devang Patel <dpatel at apple.com> wrote: > > On Mar 29, 2011, at 7:29 PM, Talin wrote: > > I've been trying to track down the problem with the DWARF info that is > being emitted by my front end, which has been broken for about a month now. > Here's what happens when I attempt to use gdb to debug one of my programs on > OS X:

On Sat, Apr 2, 2011 at 11:03 PM, Talin <viridia at gmail.com> wrote: > > > On Wed, Mar 30, 2011 at 11:17 AM, Devang Patel <dpatel at apple.com> wrote: > >> >> On Mar 29, 2011, at 7:29 PM, Talin wrote: >> >> I've been trying to track down the problem with the DWARF info that is >> being emitted by my front end, which has been broken for

Hi Im attempting to build a sample variogram for 300 obersvations of longitudinal data. So what I need to do is compute the half squared differences between pairs of residuals (for instance if a subject has 4 obersvations, this is 4 choose 2 paird differences) for each subject. Also, then I need the corresponding time differences within each individual. So the end result will be a 300 by 2

Dear all, I have two highly correlated variables (y and x), and both of them depend on a third variable (A, for Area). Multiple regression (y=a+(b*x)+(c*A)) would have collinearity problems, so I decided to do a partial regression to predict y. I did it this way: - I regressed y to A, and calculated the residuals (e_y) (reg1) - I regressed x to A, and calculated the residuals (e_x) (reg2)

Dear all, I'm looking for how can I input a linear model with an arma model,like log(y) = 8.95756 + 0.0346414^t - 0.1*t^2 + ut ut=-0.296ut-1+at-0.68at-1 where log(y) is qudratic function ,for the time series trend, and get then get the residuals from the first function. " obersvations value - the fit value = ut" and fit an ARIMA(1,1,1) model for ut.

On Mar 29, 2011, at 7:29 PM, Talin wrote: > I've been trying to track down the problem with the DWARF info that is being emitted by my front end, which has been broken for about a month now. Here's what happens when I attempt to use gdb to debug one of my programs on OS X: > > gdb stack crawl at point of internal error: > [ 0 ] /usr/libexec/gdb/gdb-i386-apple-darwin