Hey-hey! I am trying to generate Cleveland dot plots by using sgplot [ scatter  / xerrorlower xerrorupper group].   I would like to make the markers at the end of the error bars as small as possible. However, I could not figure out the way to do this.   I found the following in the Graph Template Language Reference: "For grouped data, [see] the LineStyle and LineThickness attributes of the GraphError style element and the ContrastColor attribute of the GraphData1 - GraphDataN style elements. (The LineStyle does not apply to the 'serif' parts of the error bars.)"   Unfortunately, the text does not say that if not via LineStyle then how to influence the 'serif' part of the error bars. Could you please help me with this?   I am using SAS 9.4 TS Level 1M3. Thanks a lot. ... View more

I would like to estimate the (cumulative) density function of a continuous variable (TimeToEvent) with proc kde.   proc KDE data=DistributionSet; univar TimeToEvent / percentiles=0 to 100 by 0.01; ods output percentiles=P1CDF; run;   As I only have one variable, I use an univar statement. For smoothing I use the SJPI method. If I output the estimated density function, it looks just great.   However, in a next step, I would like to use the estimated density function to map probabilities (probabilities like P(X<=x))  to certain values of the continuous variable (TimeToEvent)  in a data base. In order to do that, I should have access to either the expression of the estimated smooth density function or a fine map of either the estimated smooth density function or the cumulative density function.   The only solution I could come up with is the following: I output 10000 percentile values (percentiles=0 to 100 by 0.01). However, I think these percentile values are calculated directly from the sample of the TimeToEvent variable (if I plot the values I see a stepwise function), not based on the estimated smooth density function.   Could you suggest a better solution on how to "access" the estimated smooth density function? ... View more