Hello, there. It has been many years since you raised the question. I wonder if that problem has been solved right now. I am also building a logistic regression model and has been working on the issue of misclassification error for some time. As SAS Help shows, the formula of misclassification rate is . Simply speaking, according to this formula, the proportion of observations that were misclassified is designated as the misclassification rate. In SAS Help, it is stated that an observation is classified into the level with the largest probability. For instance, suppose the dependent variable has two levels, 0 and 1. If P(Y=1) (posterior probability) of an observation is not smaller than P(Y=0) (posterior probability), then SAS deems that according to the model, the event coded by Y=1 happens to the observation; and vice versa. ... View more

What if I need to statistically compare these two curves or find the area under them. Could you please advise with this  ... View more

Hi:   I'm not sure why you posted this in a 9 year old forum posting. However, you have an issue in your code, which is probably the reason why the "pageof" ESCAPECHAR strings are not working.     also, not sure why you have a GOPTIONS statement. For PDF to change the papersize, you typically use the PAPERSIZE option in an OPTIONS statement.   And, if you are using graph procedures in your production code with page x of y type of formatting, you may want to look at this Tech Support note: http://support.sas.com/kb/33/986.html.which indicates that "pageof" functions may not work with graphics.   cynthia ... View more

Check the version that was used to create the training materials you are reviewing.  I know the Neural Network node (for instance) had an Advanced tab in SAS Enterprise Miner 4.3 but this tab was not present in Enterprise Miner 5.x and later.      I hope this helps! Doug ... View more

Yes, you can do it. You need to compute the quantiles first. If you want a normal Q-Q plot, use PROC RANK:   /* get sample mean and stddev */ proc means data=sashelp.class mean std; var weight; run; proc rank data=sashelp.class normal=blom out=QQ; var weight; ranks Quantile; run; proc sgplot data=QQ noautolegend; scatter x=Quantile y=weight; lineparm x=0 y=100 slope=22.77; /* y-int=mean slope=stddev */ xaxis label="Normal Quantiles"; run;   For more discussion, see http://blogs.sas.com/content/iml/2016/11/23/sampling-variation-small-samples.html and for the general case of Q-Q plots for arbitrary distributions, see http://blogs.sas.com/content/iml/2011/10/28/modeling-the-distribution-of-data-create-a-qq-plot.html   ... View more

@Deen is this still a question for you? This is an old thread, you may want to post a new question now. ... View more

I would create a long version of my dataset first (something like below, which is untested). And then transpose it, this seems easier because you don't have to know how many days you have ahead of time. Then you can fill in the missing days with the last observation using arrays. I also haven't worked out the if conditions, but that seems relatively straightforward. data want; set have; end_loop=max(offer_creation, contact_date, acceptdate); day=0; do date_ordered=offercreation to end_loop; *Create if conditions here to assign status to each day; if date_ordered=offercreation then status=4; else if ... ; output; day+1; end; run; ... View more

Hi Amit, When running group processing, you are right that any tables produced by the Partition node would get replaced with each loop.  If you want to use each of the training and validation tables that are created during the loops, a SAS Code node is required.  For example, you might have a flow such as IDS -> Start Group -> Partition -> SAS Code -> End Group, and the SAS Code node would contain code to create the training and validation data sets to use later. PROC APPEND base = &em_lib.TrainbySegment data = &em_import_data force; run; PROC APPEND base = &em_lib.ValidatebySegment data = &em_import_validate force; run; This code would create two tables, TrainbySegment and ValidatebySegment.  You could really put them anywhere you want. I hope this helps.  Another good resource for questions like this one is tech support: support@sas.com. ... View more

As Reeza suggests, use the sheet_interval option... ods tagsets.excelxp file="Test.xls"                           path="XXXXX"                           options(sheet_interval="none" sheet_name='test' autofit_height='yes'      orientation='landscape' ) style=default; ... View more

If you are running on a PC and want to go old-school, DDE would be an option to consider as well.  See lexjansen.com for a bunch of papers on DDE magic by Koen Vyverman. ... View more

SAS EG 5.1 SAS 9.3 ... View more

I am not aware of any built-in method in SAS to read an image value and obtain RGB values. However, there is a method in JMP that can create the data set: Image analysis of an elephant's foot in JMP ... View more

Yup indeed, I agree with you. And I have ever tried the free trial package of the Imaging tool you mentioned above. But I was using C#.NET image processing SDK then. It worked well for me. And I am considering to employ it. What about you? And what's its latest version? ... View more