Search results

  1. noetsi

    Useful R packages

    Everyone knows that I am learning R finally. :p I was curious what are some good R modules for beginner's. Simple regression is likely to be as complex as I will use. Graphical packages (for someone who will never be a master programmer) or things that interact with SQL would also be nice.
  2. noetsi

    Interpreting regression

    I have read many regression articles over the years (books as well) and the one thing that always puzzles me is the best way to interpret the results? I know slopes and odds ration (and the various measures of the model overall value ) and in honesty they seem pretty limited. I was wondering...
  3. noetsi

    Books on specific topic

    I need a good book that deals with fixed effect regression (or article since I doubt there is a book that covers this in detail). The federal government is using this to evaluate us and what they are doing/saying conflicts with my understanding of how fixed effects regression works. By fixed...
  4. noetsi

    Installation error

    They constantly change the protections where I work. I tried to install a new package (which seemed to work) but then got Error in unpackPkgZip(foundpkgs[okp, 2L], foundpkgs[okp, 1L], lib, libs_only, : ERROR: failed to lock directory...
  5. noetsi

    Index of R packages

    I have seen many partial lists on say time series. But I was wondering any suggestions on lists of which R package does which things (ideally with some annotation). I am sure there are many. I am of course a beginner.
  6. noetsi

    R information

    My unit has decided to learn R. None of them are primarily statistical analyst (they are SQL programmers/DBA). I suggested asking questions here. Any other sites they should go to for beginners (but awesome coders, they will learn very quickly).
  7. noetsi

    Removing confidence intervals in forecast package

    I am trying to remove confidence intervals in my forecast because I don't use them and its a pain to remove them in excel. Does anyone know code to tell the forecast package not to show them? I have not found a way on line
  8. noetsi

    Evaluating a regression model.

    An important issue I have done little on historically. "Variables entered in the development model were selected using stepwise backward-elimination approach, starting with all previously reported significant predictors found theoretically and practically to be associated with 90-day employment...
  9. noetsi

    Estimating effect of those not in the system

    We have an entire population we serve. But many never apply with us. We want to know if our services help those we serve or could serve. We can tell if services impact who we do serve, but I am not sure what this tells you about those you don't serve. I am not sure how, or if, you can analyze...
  10. noetsi

    Entering variables in blocks.

    I know a chi square difference test for nested models, but is that what is occurring here? They entered the predictors in two blocs. For demographic and socioeconomic factors, the likelihood ratio test for model goodness-of-fit was significant, χ2 (14,N= 14,229) = 1,900.75, p < 0.001...
  11. noetsi

    dropping variables from model

    I recently read a well regarded regression book where they strongly argued that one should not drop variables from a model because they were statistically insignificant (or really ever if they have theory behind them). But I see this all the time. "Considering that correlational analyses...
  12. noetsi

    practical regression books :)

    I am going to get laughed at if any of the moderators reads this. :p Over the years I have read a fair number of regression books. They are great for the theory of regression (if often beyond me). But I find myself dealing with issues that don't get addressed in such books much, and not in the...
  13. noetsi

    lasso issue

    I circled back to lasso because I have 48 variables and that is simply to much in my humble opinion for my data (the whole data set has about 3200 cases, but in many cases I slice it to as few as 48). I am not using k fold validation because it does not work well with too few cases. Nor am I...
  14. noetsi

    model test proc genmod

    I expected proc genmod to run a f or t test of the overall model. But if it did I can't find it. This is as close as I can find to what I expected to see, but there is no p value.
  15. noetsi

    Basic questions for an important project.

    For the first time in forever I am running a regression that might have real impact. It is on what impact services we spend a lot of money on have. So I wanted to ask about possible issue that I should concern myself with. The dependent variable is income for customers (there are thousands the...
  16. noetsi

    Coding in SPSS

    I have used SPSS before but only the GUI (I use SAS and R normally). I am moving to a new organization that uses SPSS exclusively. They mention a need to write statistical code in SPSS. Any suggestions on a quick way to learn that code. The quicker the better.
  17. noetsi

    Regression with different populations

    I am doing an analysis on the impact of services. I could have done this by simply looking at those who got the service and those that did not (there are a series of services). But it did not make sense to me to test who got a service versus who did not. Instead it made more sense to test who...
  18. noetsi

    How would you test this

    I had a problem the other day where we were asked to estimate the reduction to damage to the road and safety violations from increasing the number of inspectors? I could not think of any good methodology to do this. The best I could come up with would be to find a state similar to Florida with...
  19. noetsi

    Censored data

    This is the issue at hand. "The censoring nature of earning information in national surveys and the administrative case reporting system should be taken into consideration in developing empirical specifications of wages. For example, in RSA-911 data, clients’ earnings after receipt of services...
  20. noetsi

    predicting with interval data with a limited number of levels.

    "To visualize how receipt of key services was associated with employment outcomes, we calculated the rate of employment at VR exit for each group based on a count of key services received (zero to four services)." So they have a predictor that ranges from 0-4. This is not interval data, it is...