[Julian Reif]

(1) Add native support for reading Parquet files.

(2) Add built-in support in ivregress for the Sanderson-Windmeijer (SW) first-stage test of weak identification when there are multiple endogenous regressors. (This test is currently available in ivreg2.)

[Tommy Morgan]

Allow/create a few fill patterns for graphs!

[ericmelse]

The standard format of the result produced in the Stata result window by the sum command while using the , d option, to display the additional statistics, is like:

. sysuse auto, clear
. sum mpg, d

                        Mileage (mpg)
-------------------------------------------------------------
      Percentiles      Smallest
 1%           12             12
 5%           14             12
10%           14             14       Obs                  74
25%           18             14       Sum of wgt.          74

50%           20                      Mean            21.2973
                        Largest       Std. dev.      5.785503
75%           25             34
90%           29             35       Variance       33.47205
95%           34             35       Skewness       .9487176
99%           41             41       Kurtosis       3.975005

But, in the above the result values r(sum), r(min) and r(max) are not included:

. return list

scalars:
                  r(N) =  74
              r(sum_w) =  74
               r(mean) =  21.2972972972973
                r(Var) =  33.47204738985561
                 r(sd) =  5.785503209735141
           r(skewness) =  .9487175964588155
           r(kurtosis) =  3.97500459645325
                r(sum) =  1576
                r(min) =  12
                r(max) =  41
                 r(p1) =  12
                 r(p5) =  14
                r(p10) =  14
                r(p25) =  18
                r(p50) =  20
                r(p75) =  25
                r(p90) =  29
                r(p95) =  34
                r(p99) =  41

although there is ample room available to include them.

My proposal to include them in the window report is:

                            Mileage (mpg)
---------------------------------------------------------------------
      Percentiles      Smallest
 1%           12             12       Obs                  74
 5%           14             12       Sum of wgt.          74
10%           14             14       Mean                 21.2973
25%           18             14       Std. dev.             5.785503

50%           20                      Variance             33.47205
                        Largest       Skewness               .9487176
75%           25             34       Kurtosis              3.975005
90%           29             35       Sum                1576
95%           34             35       Min                  12
99%           41             41       Max                  41

I suppose the above does not meet the criterium of the next rocket science contribution to the field of (medical) statistics or econometrics, but, using sum, d is a daily routine and having all results available on the fly might be of use for many Stata users.

[Clyde Schechter]

I agree with adding the sum to the statistics reported in the Results window. But min and max are redundant: Stata already shows the four smallest and four largest values, so the first and last of those, respectively, are the values of the min and max.

[Fahad Mirza]

Ben Jann wrote a module called moremata which interestingly includes a routine to calculate percentiles. What differentiates this with the existing percentile calculation performed in Stata is the option to choose multiple methods. Apparently, based on the code for mm_quantile() within the routine allows for 12 different definitions to compute percentile. Within these 12 definitions, Stata uses definition 2 (default) and alternatively definition 6. Python, R, and other programs use a different definition.

Just a thought here, but would be nice to include all definitions to help folks replicate processes in other programs. These definitions also apply to the calculation of median and interquartile range (IQR)

Link to moremata: https://ideas.repec.org/c/boc/bocode/s455001.html

Definitions listed below:

[Fahad Mirza]

For some time, I have been requesting that the ability to read Raster files in Stata would be useful as many economists (at least in my circle) look for ways where they can create routine which allow for single program execution to do their analysis especially when it comes to geospatial analysis. Recently, a package was released by a team from Xiamen University and Hefei University called readraster (link below) that uses Java integration to allow for Raster analysis in Stata.

Maybe, and if it is worth the time and effort, the team at Stata can consider developing on this? Would be useful i believe.

[Bruce Weaver]

I would (still) like to see the documentation for ttest updated to clarify that the welch option produces Welch's (1947) adjustment, whereas unequal produces the adjustment that was developed by Welch (1938) and independently (apparently) by Satterthwaite (1946). See this old thread for details:

• https://www.statalist.org/forums/for...-documentation

I think this is important because I believe that when people talk about Welch's t-test, they usually mean the Welch (1938) test, aka., the Welch-Satterthwaite method.