Recent content by noetsi

Yeah I know they aren't the same, usually. I have looked a long time for a way to quickly convert them, but if it exists I have not found it.

What happens if I delete spunky's before you delete mine? So the board gets better for my posts gone and worse for spunky's gone and I have about a 100 times the post he does (probably more).

This question, which I just got asked, always confuses me with odds ratios. Can you go from an odds ration to a percent chance of being in one state?

What if I don't...

Ten years and I still struggle with this :p I have a continuous predictor. Years of experience I am predicting a dv that is success or not success (I am maximizing success) My odds ratio is 1.103 (it is statistically significant as is the model). I interpret that as For every year they have...

I don't know that proc but I will try to do it. But this has to be done by tomorrow so I will go with fed2's suggestion in the short run.

I have a dependent variable which is a successful or unsuccessful closure. My predictor is how many months (I also ran years) of experience a counselor who handles that case has. The results are very statistically significant, but the effect size is very small (the odds ratio is .962 roughly...

of course if it is obscure no one will know if you are right or not :p

An answer I received elsewhere. Which was totally new to me.

Absolutely I am using Rstudio and it does help a lot for someone used to a GUI (I use SAS historically through enterprise guide although thankfully I code it as well as SQL so I am not totally new to programing). The learning curve is a lot for R. Learning how to read the documentation in the...

For my DV I was using logistic regression - which I think would be ok based on your comments. I only have one predictor so Multicolinearity is not an issue. My concern is whether I violate the assumption of independence because I have counselors handling multiple cases as the predictor. So one...

The data itself may or may not have to be normal. For instance in regression the raw data does not have to be normal just the residuals. I am not sure what test you are running. There are btw software, including I think some excel ad ons which will superimpose a normal curve over your data.

I have a dependent variable which status you close in (its a dummy variable). My predictor is how many months of experience counselors associated with the case has. There are about 11,5000 cases but only about 400 distinct counselors - they have many cases. So you have one number of the dv but...

My question was probably too simple. It is did I do the code that I posted for zoo correctly :) I have not pasted data because the data i use it state internal data and I am not sure I am allowed to put it here. But assuming I am, what format do I post it here in. Just add he excel (or CSV)...

lol that is why I struggle with R (well one reason). I thought it just took a long time to load this package.