[Attaullah Shah]

Chen Samulsion You are absolutely right. Getting Chinese characters in an RTF file is a pain in the neck. Usually, getting Chinese characters programmatically into an RTF file does not seem straightforward, one has to first convert the letters to Unicode and then render it properly in the RTF file. Doing all these seems a little off for me given the scope of asdoc.

[Chen Samulsion]

Thank you professor Attaullah Shah. There are many user-written commands for exporting tables to text (word, excel, Latex) files in Stata, for example, estout, logout, outreg, outreg2, outtable, tabout, partchart, publish as far as I know. Some of them have obvious flaws, but also some have clear advantage. I hope someone can compare them with asdoc someday.

[EdieMMM]

--I registered this account a long time ago, and I can't change my user name to my real name without setting up a new account---


Prof. Shah:

This is a wonderful program! Thank you very much.


I have been using it with imputed data and it works great with logistic regression.

For example, this works perfectly with a binary DV....

asdoc mi estimate, or: logistic DV IV IV IV, etc.


However, I'm not getting it to work with the regression command with mi estimate and a continuous DV. This doesn't work for me:

asdoc mi estimate: regress DV IV IV IV

I get the error:

variable estimate not found
r(111);


If I play around with it and try "asdoc regress DV IV IV IV" then it works. So, I think this might be a bug in asdoc with mi estimate: regress? Or am I supposed to be adding an option first? I have tried using asdoc mi estimate, coef: regress DV IV IV just to see but no luck.

I have read through your website and searched statalist/google to see if others have reported this problem but haven't seen it mentioned...

FYI, I am using Stata 14.2 and I have updated asdoc using:
ssc install asdoc, replace
Thanks in advance,
Eileen Diaz McConnell

[Attaullah Shah]

Eileen Diaz McConnell thanks for reporting this. Can you please post a data example using dataex (from SSC) and the exact command that you used

[EdieMMM]

Hi again, Prof. Shah:

I hope that this works!

* Example generated by -dataex-. To install: ssc install dataex
clear
input byte REFUGEES_scale_W23 float ImmWorseScale_W10 byte Immdecrease_W10
2  -.5 0
0  .75 1
0  .75 1
0  .25 1
2  -.5 0
2  .25 1
2    0 0
2 -.25 1
1    1 1
3  -.5 0
2 -.75 1
1    1 1
0    1 1
1    1 1
2 -.25 0
1 -.75 0
2 -.25 0
2  .25 1
1    1 0
3    0 0
3  .75 1
3  -.5 0
3  -.5 0
2  .75 1
2    1 1
2 -.75 0
2    1 1
1    0 0
2   .5 1
1    1 1
0    1 1
2  -.5 0
2  -.5 0
3  -.5 0
1 -.25 0
1 -.25 0
3  -.5 0
3    . 0
2 -.25 0
0    1 1
3  -.5 0
2   .5 1
0    1 1
0 -.75 0
0  -.5 0
1   .5 0
2  .25 1
3  -.5 0
1   .5 1
3  -.5 1
3 -.25 0
1  .75 1
2    0 0
0  .75 1
2    . 1
3 -.25 0
2  .75 1
2    1 1
2  .25 1
3 -.25 0
2    1 1
1    0 1
2  -.5 0
1 -.75 0
1    1 1
2  .25 1
3    0 0
1    1 1
3 -.25 0
2  -.5 0
1    0 1
3   .5 1
2    1 0
2   .5 1
3 -.25 0
1  .75 1
3  .25 0
3    . .
3 -.75 0
1    1 0
3    0 0
1    1 1
1    1 1
3 -.25 0
2 -.75 1
2 -.25 0
. -.25 0
2 -.25 0
3  -.5 0
3 -.75 0
2  -.5 0
0    0 0
2  .75 1
3  -.5 1
3  -.5 0
1  .75 1
2 -.25 0
0    1 1
3  -.5 0
1    1 0
end
label values REFUGEES_scale_W23 REFUGEES_scale_W23
label def REFUGEES_scale_W23 0 "Not at all important", modify
label def REFUGEES_scale_W23 1 "Not too important", modify
label def REFUGEES_scale_W23 2 "Somewhat important goal", modify
label def REFUGEES_scale_W23 3 "Very important goal", modify
label values Immdecrease_W10 Immdecrease_W10
label def Immdecrease_W10 0 "No", modify
label def Immdecrease_W10 1 "Decreased", modify

And, then:

asdoc mi estimate: regress REFUGEES_scale_W23 ImmWorseScale_W10 Immdecrease_W10

I get this output:

. asdoc mi estimate: regress REFUGEES_scale_W23 ImmWorseScale_W10 Immdecrease_W10
(File Myfile.doc already exists, option append was assumed)
variable estimate not found
r(111);

So, I get the error.

When I do this instead (even though its logistic with a continuous), I don't get the error.

asdoc mi estimate, or: logistic REFUGEES_scale_W23 ImmWorseScale_W10 Immdecrease_W10

Output:
. asdoc mi estimate, or: logistic REFUGEES_scale_W23 ImmWorseScale_W10 Immdecrease_W10
(File Myfile.doc already exists, option append was assumed)


Thanks for any suggestions!
Eileen Diaz McConnell

[Attaullah Shah]

I am not familiar with mi commands, so I am getting the following erorrs using your data

no imputations

no imputations
r(2000);

Therefore, please post the relevant commands that you used to set the mi data and imputations.

[EdieMMM]

There are a lot of them! I'll work on a short version to share and post again tomorrow. In the meantime, has anyone else using asdoc gotten this error with mi estimate: reg?

[EdieMMM]

Hi again, Professor Shah.

So this is a hypothetical example that doesn't include all my vars in my models and one of them isn't coded correctly (F_SEX_FINAL). But when I try the asdoc command that I cannot get to work, it shows the same error that I'm trying to show you, so I'm hoping this is enough to give you the key points without taking up too much of your time.

* Example generated by -dataex-. To install: ssc install dataex
clear
input byte(ST3scale_W10 ST8Ascale_W10 ST8Cscale_W10 ST8Dscale_W10 ST7_W10R IMMVALA_W23R REFUGEES_scale_W23) float ImmWorseScale_W10 byte Immdecrease_W10 double F_SEX_FINAL
-1  0 -1  0 1 2 2  -.5 0 2
 1  1  1  0 3 4 0  .75 1 1
 0  1  1  1 3 4 0  .75 1 1
 1  0  1 -1 3 4 0  .25 1 2
-1  0 -1  0 1 2 2  -.5 0 2
-1  1  1  0 3 2 2  .25 1 1
-1  1  1 -1 1 2 2    0 0 2
-1  1 -1  0 3 2 2 -.25 1 2
 1  1  1  1 3 3 1    1 1 2
-1  0 -1  0 1 1 3  -.5 0 2
-1  0 -1 -1 3 2 2 -.75 1 2
 1  1  1  1 3 3 1    1 1 1
 1  1  1  1 3 4 0    1 1 1
 1  1  1  1 3 3 1    1 1 2
-1 -1  0  1 1 2 2 -.25 0 1
-1  0 -1 -1 1 3 1 -.75 0 1
-1  0  0  0 1 2 2 -.25 0 1
-1  1  1  0 3 2 2  .25 1 2
 1  1  1  1 2 3 1    1 0 2
-1  1  0  0 1 1 3    0 0 1
 1  0  1  1 3 1 3  .75 1 2
-1  0 -1  0 1 1 3  -.5 0 1
-1 -1  1 -1 1 1 3  -.5 0 2
 1  1  1  0 3 2 2  .75 1 2
 1  1  1  1 3 2 2    1 1 1
-1  0 -1 -1 1 2 2 -.75 0 2
 1  1  1  1 3 2 2    1 1 2
-1  0  0  1 1 3 1    0 0 1
 1  0  1  0 3 2 2   .5 1 1
 1  1  1  1 3 3 1    1 1 2
 1  1  1  1 3 4 0    1 1 1
-1  0 -1  0 1 2 2  -.5 0 1
-1  0  0 -1 1 2 2  -.5 0 2
-1  0 -1  0 1 1 3  -.5 0 2
 0  0 -1  0 1 3 1 -.25 0 1
 0  0 -1  0 1 3 1 -.25 0 1
-1  0 -1  0 2 1 3  -.5 0 2
 . -1 -1 -1 1 1 3    . 0 2
-1  0  0  0 2 2 2 -.25 0 2
 1  1  1  1 3 4 0    1 1 1
-1  0 -1  0 1 1 3  -.5 0 1
-1  1  1  1 3 2 2   .5 1 1
 1  1  1  1 3 4 0    1 1 2
-1 -1 -1  0 1 4 0 -.75 0 1
-1  0 -1  0 2 4 0  -.5 0 1
 0  1  1  0 1 3 1   .5 0 1
-1  0  1  1 3 2 2  .25 1 2
-1  0 -1  0 2 1 3  -.5 0 1
 1  1  1 -1 3 3 1   .5 1 1
-1  0 -1  0 3 1 3  -.5 1 1
-1  0  0  0 2 1 3 -.25 0 2
 1  1  1  0 3 3 1  .75 1 2
-1  1  0  0 1 2 2    0 0 1
 1  1  1  0 3 4 0  .75 1 2
 .  1  1  1 3 2 2    . 1 2
-1  0  0  0 2 1 3 -.25 0 2
 1  1  1  0 3 2 2  .75 1 2
 1  1  1  1 3 2 2    1 1 2
 1  1  0 -1 3 2 2  .25 1 2
-1  0  0  0 2 1 3 -.25 0 2
 1  1  1  1 3 2 2    1 1 2
-1  1  1 -1 3 3 1    0 1 2
-1  0 -1  0 1 2 2  -.5 0 2
-1  0 -1 -1 1 3 1 -.75 0 2
 1  1  1  1 3 3 1    1 1 2
-1  1  1  0 3 2 2  .25 1 2
 0  0  0  0 1 1 3    0 0 2
 1  1  1  1 3 3 1    1 1 2
-1  0  0  0 1 1 3 -.25 0 2
-1  0 -1  0 2 2 2  -.5 0 1
 0  0  0  0 3 3 1    0 1 1
 1  1 -1  1 3 1 3   .5 1 2
 1  1  1  1 1 2 2    1 0 2
 1  0  1  0 3 2 2   .5 1 2
 0  0 -1  0 1 1 3 -.25 0 1
 1  1  1  0 3 3 1  .75 1 1
 0  1  0  0 1 1 3  .25 0 2
-1  .  .  . . 1 3    . . 2
-1  0 -1 -1 2 1 3 -.75 0 1
 1  1  1  1 2 3 1    1 0 2
-1  1  0  0 1 1 3    0 0 2
 1  1  1  1 3 3 1    1 1 2
 1  1  1  1 3 3 1    1 1 2
-1  0  0  0 1 1 3 -.25 0 2
-1  0 -1 -1 3 2 2 -.75 1 2
 0  0 -1  0 2 2 2 -.25 0 2
-1  0  0  0 1 . . -.25 0 2
-1  0 -1  1 1 2 2 -.25 0 1
-1  0 -1  0 2 1 3  -.5 0 2
-1  0 -1 -1 2 1 3 -.75 0 1
-1  1 -1 -1 2 2 2  -.5 0 1
-1  0  1  0 1 4 0    0 0 2
 1  1  0  1 3 2 2  .75 1 1
-1  0 -1  0 3 1 3  -.5 1 1
-1  0 -1  0 1 1 3  -.5 0 2
 1  1  1  0 3 3 1  .75 1 2
-1  0  0  0 1 2 2 -.25 0 2
 1  1  1  1 3 4 0    1 1 1
-1  0 -1  0 2 1 3  -.5 0 1
 1  1  1  1 1 3 1    1 0 2
end
label values ST3scale_W10 ST3scale_W10
label def ST3scale_W10 -1 "Make American society better in the long run", modify
label def ST3scale_W10 0 "Don't have much of an effect", modify
label def ST3scale_W10 1 "Make American society worse in the long run", modify
label values ST8Ascale_W10 ST8Ascale_W10
label def ST8Ascale_W10 -1 "Immigrants are making things better", modify
label def ST8Ascale_W10 0 "Don't have much of an effect", modify
label def ST8Ascale_W10 1 "Immigrants are making things worse", modify
label values ST8Cscale_W10 ST8Cscale_W10
label def ST8Cscale_W10 -1 "Immigrants are making things better", modify
label def ST8Cscale_W10 0 "Don't have much of an effect", modify
label def ST8Cscale_W10 1 "Immigrants are making things worse", modify
label values ST8Dscale_W10 ST8Dscale_W10
label def ST8Dscale_W10 -1 "Immigrants are making things better", modify
label def ST8Dscale_W10 0 "Don't have much of an effect", modify
label def ST8Dscale_W10 1 "Immigrants are making things worse", modify
label values ST7_W10R ST7_W10R
label def ST7_W10R 1 "Present level", modify
label def ST7_W10R 2 "Increased", modify
label def ST7_W10R 3 "Decreased", modify
label values IMMVALA_W23R IMMVALA_W23R
label def IMMVALA_W23R 1 "Very important goal", modify
label def IMMVALA_W23R 2 "Somewhat important goal", modify
label def IMMVALA_W23R 3 "Not too important goal", modify
label def IMMVALA_W23R 4 "Not at all important goal", modify
label values REFUGEES_scale_W23 REFUGEES_scale_W23
label def REFUGEES_scale_W23 0 "Not at all important", modify
label def REFUGEES_scale_W23 1 "Not too important", modify
label def REFUGEES_scale_W23 2 "Somewhat important goal", modify
label def REFUGEES_scale_W23 3 "Very important goal", modify
label values Immdecrease_W10 Immdecrease_W10
label def Immdecrease_W10 0 "No", modify
label def Immdecrease_W10 1 "Decreased", modify
label values F_SEX_FINAL F_SEX_FINAL
label def F_SEX_FINAL 1 "Male", modify
label def F_SEX_FINAL 2 "Female", modify

*Below is code to give you idea of how I did the multiple imputation for the above data.

mi extract 0, clear

mi set mlong

*This command identifies which variables in the imputation model don't have missing information, didn't include those that were subset of others.
*I don't actually use this variable in the below syntax asdoc examples-but wasn't sure what would happen if I don't register any variables without missing data in this hypothetical example.

mi register regular F_SEX_FINAL

*This command identifies which variables in the imputation model has missing information.
mi register imputed IMMVALA_W23R ST7_W10R ST3_W10R ST8A_W10R ST8C_W10R ST8D_W10R

mi impute chained (ologit) IMMVALA_W23R (ologit) ST7_W10R (ologit) ST3_W10R (ologit) ST8A_W10R (ologit) ST8C_W10R (ologit) ST8D_W10R (ologit)[pweight = WEIGHT_W10], add(25) rseed (53421) augment force

*After imputing the missing data, then I recode into what I need.

*Recoded these imputed immigration attitudes into a mean scale.
recode ST3_W10R (1 = -1 "Make American society better in the long run")(2 = 1 "Make American society worse in the long run")(3=0 "Don't have much of an effect"), gen(ST3scale_W10)

recode ST8A_W10R (1 = -1 "Immigrants are making things better") (2 = 1 "Immigrants are making things worse") (3=0 "Don't have much of an effect"), gen(ST8Ascale_W10)

recode ST8C_W10R (1 = -1 "Immigrants are making things better") (2 = 1 "Immigrants are making things worse") (3=0 "Don't have much of an effect"), gen(ST8Cscale_W10)

recode ST8D_W10R (1 = -1 "Immigrants are making things better") (2 = 1 "Immigrants are making things worse") (3=0 "Don't have much of an effect"), gen(ST8Dscale_W10)

*Mean scale for all 4 items: ImmWorseScale_W10 where higher values indicate more threat but also averaged across all 4.

*Value ranges from -1 (all responses are immigrants make things better for all 4) to 1 (all responses are immigrants make things worse).
gen ImmWorseScale_W10 = (ST3scale_W10 + ST8Ascale_W10 + ST8Cscale_W10 + ST8Dscale_W10)/ 4


*ST7R to Binary, immigration should be decreased; those who think remain at present level or be increased increased are combined.
recode ST7_W10R (1 = 0 "No")(2 = 0 "No")(3 = 1 "Decreased"), gen(Immdecrease_W10)


*Continuous variable with very important as high and not at all important as low, I've checked it out-doesn't matter if lowest value is 1 or 0; regression results are the same with this var.

recode IMMVALA_W23R (1 = 4 "Very important goal")(2 = 3 "Somewhat important goal")(3=2 "Not too important") (4=1 "Not at all important"), gen(REFUGEES_cont_W23)


*The next command works fine for me.

mi estimate: regress REFUGEES_scale_W23 ImmWorseScale_W10 Immdecrease_W10

*This next command works fine for me, too. Note that I shouldn't use logistic for this analysis given how REFUGEES_scale_W23 is coded, but it shows me that this asdoc mi estimate syntax works.

asdoc mi estimate, or: logistic REFUGEES_scale_W23 ImmWorseScale_W10 Immdecrease_W10

*However, the next command-which is what I really want to run---produces an error ("variable estimate not found").

asdoc mi estimate: regress REFUGEES_scale_W23 ImmWorseScale_W10 Immdecrease_W10


I hope that this runs for you, Professor Shah. If not, I will try again with another example.

Thanks for the time that you've dedicated to asdoc and to advising users.

Sincerely,
Eileen Díaz McConnell

[Attaullah Shah]

Thanks for the detailed example. However, you have not included many variables in the example dataset, but down the road, you do use them in the codes. Therefore, many commands fail. See, for example, this line of code

. mi register imputed IMMVALA_W23R ST7_W10R ST3_W10R ST8A_W10R ST8C_W10R ST8D_W10R
variable ST3_W10R not found
r(111);

Similar is the case with some other variables. Given that, I shall use an example from the Stata manual for mi commands. Since you get an error message for the sub-command estimate, my example is based on this sub-command

webuse mheart1s20
mi estimate: logit attack smokes age bmi hsgrad female

* IF we use asdoc with the second line, we shall get an error: 

asdoc mi estimate: logit attack smokes age bmi hsgrad female, replace

variable estimate not found
r(111);

This happens due to parsing error at asdoc's end, which I shall work on in the subsequent updates. For time being, there is a good news. we can replay the mi estimates without having to repeat the full command. So if we type:

 asdoc mi estimate, replace

it does the trick and asdoc will export the mi estimates to a word file. So the solution is to first estimate the mi commands without using asdoc in the prefix, and then on the subsequent line, add asdoc to mi estimate, i.e.

 mi estimate: logit attack smokes age bmi hsgrad female
asdoc mi estimate, replace

[EdieMMM]

Professor Shah:

Thanks so much for looking into this! I was on another project and just came back to check on this now. Yes, in the interest of providing a simple example, I didn't provide all that was needed. Sorry.

However, I appreciate your taking the time to discover how to do this with another example. It worked perfectly!

Also, running "asdoc mi estimate, append" also works so that I can just append rather than replace.

Asdoc is such a time saver. Thank you.
Eileen

[Nick Cox]

EdieMMM Thanks for using your real name Eileen Díaz McConnell as signature.

Back in #48 you said "I registered this account a long time ago, and I can't change my user name to my real name without setting up a new account". It is true that you can't do that unilaterally, but we explain what to do in your situation in the FAQ Advice which all are asked to read before posting.

https://www.statalist.org/forums/help#realnames

You are asked to post on Statalist using your full real name, including given name(s) and a family name, such as "Ronald Fisher" or "Gertrude M. Cox". Giving full names is one of the ways in which we show respect for others and is a long tradition on Statalist. It is also much easier to get to know people when real names are used.

If you overlook this on first registration, it is easy to fix. Click on “Contact us” located at the bottom right-hand corner of every page.

-- and send a message to the list administrators

[Wawan Sugiyarto]

Dear Professor Shah,

Thank you so much for your sharing. Your program is useful.

I have problem with tabulate ttest ( Return=0) result in one table such as below (I input result manually one by one).

ttest R0==0 if Y==2009
ttest R1==0 if Y==2009
ttest R2==0 if Y==2009
ttest R3==0 if Y==2009

ttest R0==0 if Y==2010
ttest R1==0 if Y==2010
ttest R2==0 if Y==2010
ttest R3==0 if Y==2010

ttest R0==0 if Y==2011
ttest R1==0 if Y==2011
ttest R2==0 if Y==2011
ttest R3==0 if Y==2011

ttest R0==0 if Y==2012
ttest R1==0 if Y==2012
ttest R2==0 if Y==2012
ttest R3==0 if Y==2012

Year	Simulation	Return (R)
0	1	2	3
2009	3	0.60	0.64	0.46	0.71
		(4.55)	(3.72)	(1.04)	(3.26)
2010	24	0.71	0.90	0.21	0.47
		(1.29)	(1.64)	(0.87)	(2.67)
2011	12	0.76	1.15	1.32	1.43
		(1.1)	(1.77)	(1.98)	(1.84)
2012	37	0.14	-0.13	-0.28	-0.26
		(0.74)	(-0.63)	(-1.04)	(-0.99)

Could you give some advices how to make it automatically?

This is the dataset:

R0	R1	R2	R3	Y
0.004425	0.004425	-0.00405	0.003564	2009
0.008808	0.010064	0.007259	0.006972	2009
0.005156	0.005156	0.010822	0.011238	2009
3.86E-05	-0.00165	-0.00303	-0.0049	2010
0.009852	0.009852	-0.00301	-0.00524	2010
0.0015	0.0015	-0.00666	-0.01387	2010
-0.00061	-0.00045	-0.00055	0.000237	2010
0.000747	0.000111	9.55E-05	0.001138	2010
0.000771	-0.00015	-0.00031	0.003995	2010
-0.00045	-0.00103	-0.00058	-0.00058	2010
0.135216	0.135216	-0.00072	-0.00072	2010
0.00053	0.000837	0.001047	-0.00249	2010
0.001989	0.003614	0.001432	0.001534	2010
0	0	0.008254	0.004437	2010
-0.00266	-0.00559	-0.00494	-0.00229	2010
0.005174	0.005418	0.015735	0.006711	2010
0.004269	0.004468	0.004966	0.005369	2010
0.008148	0.00438	-0.0419	0.005287	2010
0.003946	0.007096	0.009817	0.015561	2010
-0.00291	-0.00168	0.013342	0.019813	2010
-0.00099	0.000613	0.003765	0.005096	2010
-0.00095	-0.0005	0.007085	0.005976	2010
0.003266	0.004288	0.007994	0.007191	2010
0.006183	0.013831	-0.00515	0.003334	2010
-0.00122	0.008168	0.008705	0.01362	2010
-0.00036	0.011534	0.011966	0.017126	2010
0.000918	0.0157	0.016885	0.021647	2010
-0.01485	-0.01605	-0.01102	-0.00409	2011
0.000353	0.002384	0.007114	0.017022	2011
1.17E-05	-0.00186	0.009004	0.019676	2011
-0.00164	0.000718	-5.2E-05	-0.00014	2011
-3.51E-06	0.007894	0.003445	0.002757	2011
-0.01009	0.016026	0.008748	-0.0063	2011
-0.01611	-0.01043	-0.01148	-0.02287	2011
0.003555	0.005695	0.011899	0.015045	2011
0.011543	0.011453	0.013921	0.013737	2011
0.022187	0.019799	0.020925	0.022505	2011
0.018536	0.022491	0.019312	0.02012	2011
0.059238	0.057683	0.063242	0.070793	2011
0.008285	-3.1E-05	0.008224	0.00866	2012
-0.00331	-0.0031	-0.00147	0.000799	2012
-0.00205	-0.00235	0.003518	0.004122	2012
0	0.003083	-0.0041	-0.00099	2012
-0.01974	-0.02148	-0.02653	-0.0282	2012
0.011725	0.002618	0.006607	0.004391	2012
-0.01294	-0.02402	-0.02916	-0.02916	2012
-0.00598	-0.01672	-0.03051	-0.03051	2012
-0.0296	-0.03694	-0.05805	-0.05805	2012
0.002149	-0.01434	-0.03187	-0.03187	2012
-0.01341	-0.02352	-0.02146	-0.01403	2012
0.011682	0.005818	-0.00138	0.004351	2012
0.011756	0.011676	0.009072	0.006166	2012
-0.00031	0.000313	-0.00034	-0.0019	2012
0.000194	-0.00158	-0.00173	-0.00393	2012
7.53E-05	-0.00208	-0.0017	-0.0035	2012
0.000211	0.002246	0.001557	-0.00141	2012
-0.00077	-0.00075	0.004118	0.000237	2012
0.004429	0.004351	0.001652	0.001553	2012
3.74E-05	-0.0042	-0.00712	0.000216	2012
-0.00048	-0.00667	-0.00961	-0.00332	2012
0.027808	0.029803	0.030471	0.026713	2012
0.001292	-0.00982	-0.01935	-0.02156	2012
0.034735	0.035506	0.036004	0.029923	2012
-4E-05	0.000618	0.00168	0.004501	2012
-0.00413	0.001406	0.003677	0.005576	2012
-0.00017	-0.00331	-0.00124	0.002687	2012
-0.00647	-0.00068	-0.00055	-0.00151	2012
0.025387	-0.00014	0.000211	-0.00081	2012
-0.00044	0.000535	-0.00017	0.001077	2012
0.000138	0.000409	0.000608	0.003371	2012
-0.01455	-0.00714	-0.00626	-0.00299	2012
0.002515	0.005503	0.005963	0.005356	2012
-0.00048	0.010277	0.013698	0.011827	2012
0.022686	0.010046	0.009247	0.004038	2012
0.011724	0.012328	0.006248	0.000934	2012
0.001843	0.004669	0.011857	0.016241	2012

Thank you.

Kind regards,
Wawan Sugiyarto

[Attaullah Shah]

Wawan Sugiyarto Today, I had some time so wrote this blog post to show the use of asdoc with ttest. The post uses your data. The output shown there is the standard output generated by asdoc with ttest command. If you need a more customized table, you can explore the row() option of asdoc, further details can be found in the help file of asdoc and in this blog post.

[Kiran Abro]

this is very useful command. i was in search of this command and after days this post solved my problem. this is highly appreciated Professor Ataullah Shah. i just tried it for descriptive statistics and worked. then i tried it for correlation but stata issued an error message.

(File Myfile.doc already exists, option append was assumed)
file Myfile.doc could not be opened for read/write
fopen(): 603 file could not be opened
append(): - function returned error
<istmt>: - function returned error
r(603);

[Kiran Abro]

issue resolved i just copied that table in another word doc and unsaved it from my.doc