Emphasis in inline code

[Joseph Coveney]

Be sure to watch out for the `s and 's in your local macro usage: that's `mylocal', and not 'mylocal'.

Also, pay attention to precision in your evaluator ado-file that your estimation command calls: generate double `tmpvar0' = . . .

The syntax would be something like the following:

program define myprogram, rclass

version 13.1
syntax varlist(min=1 numeric) [if] [in], noCONStant noLog

Note the requirements that the user to at least provide a response variable and that all variables be numeric.

Note to Statalist forum host: apparently (a) you cannot use [font=] with [indent], and (b) two [indent]s inserts a spurious extra line in the text.

[Joseph Coveney]

Number of obs = 36 R-squared = 0.5474
Root MSE = 2.62996 Adj R-squared = 0.3399

Source | Partial SS df MS F Prob > F
----------------------+----------------------------------------------------
Model | 200.75 11 18.25 2.64 0.0227
|
temperature | 30.5 2 15.25 2.20 0.1321
chemical | 12.25 1 12.25 1.77 0.1958
temperature#chemical | 24.5 2 12.25 1.77 0.1917
method | 42.25 1 42.25 6.11 0.0209
temperature#method | 87.5 2 43.75 6.33 0.0062
chemical#method | .25 1 .25 0.04 0.8508
temperature#chemical# |
method | 3.5 2 1.75 0.25 0.7785
|
Residual | 166 24 6.91666667
----------------------+----------------------------------------------------
Total | 366.75 35 10.4785714

                           Number of obs =      36     R-squared     =  0.5474
                           Root MSE      = 2.62996     Adj R-squared =  0.3399

                  Source |  Partial SS    df       MS           F     Prob > F
   ----------------------+----------------------------------------------------
                   Model |      200.75    11       18.25       2.64     0.0227
                         |
             temperature |        30.5     2       15.25       2.20     0.1321
                chemical |       12.25     1       12.25       1.77     0.1958
    temperature#chemical |        24.5     2       12.25       1.77     0.1917
                  method |       42.25     1       42.25       6.11     0.0209
      temperature#method |        87.5     2       43.75       6.33     0.0062
         chemical#method |         .25     1         .25       0.04     0.8508
   temperature#chemical# |
                  method |         3.5     2        1.75       0.25     0.7785
                         |
                Residual |         166    24  6.91666667   
   ----------------------+----------------------------------------------------
                   Total |      366.75    35  10.4785714

[Joseph Coveney]

. anova yield temp##chem##meth

Number of obs = 36 R-squared = 0.5474
Root MSE = 2.62996 Adj R-squared = 0.3399

Source | Partial SS df MS F Prob > F
----------------------+----------------------------------------------------
Model | 200.75 11 18.25 2.64 0.0227
|
temperature | 30.5 2 15.25 2.20 0.1321
chemical | 12.25 1 12.25 1.77 0.1958
temperature#chemical | 24.5 2 12.25 1.77 0.1917
method | 42.25 1 42.25 6.11 0.0209
temperature#method | 87.5 2 43.75 6.33 0.0062
chemical#method | .25 1 .25 0.04 0.8508
temperature#chemical# |
method | 3.5 2 1.75 0.25 0.7785
|
Residual | 166 24 6.91666667
----------------------+----------------------------------------------------
Total | 366.75 35 10.4785714


. anova yield temp##chem##meth

Number of obs = 36 R-squared = 0.5474
Root MSE = 2.62996 Adj R-squared = 0.3399

Source | Partial SS df MS F Prob > F
----------------------+----------------------------------------------------
Model | 200.75 11 18.25 2.64 0.0227
|
temperature | 30.5 2 15.25 2.20 0.1321
chemical | 12.25 1 12.25 1.77 0.1958
temperature#chemical | 24.5 2 12.25 1.77 0.1917
method | 42.25 1 42.25 6.11 0.0209
temperature#method | 87.5 2 43.75 6.33 0.0062
chemical#method | .25 1 .25 0.04 0.8508
temperature#chemical# |
method | 3.5 2 1.75 0.25 0.7785
|
Residual | 166 24 6.91666667
----------------------+----------------------------------------------------
Total | 366.75 35 10.4785714

[Joseph Coveney]

[pre]Logistic regression Number of obs = 74
LR chi2(1) = 11.49
Prob > chi2 = 0.0007
Log likelihood = -39.28864 Pseudo R2 = 0.1276

------------------------------------------------------------------------------
foreign | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
mpg | .1597621 .0525876 3.04 0.002 .0566922 .262832
_cons | -4.378866 1.211295 -3.62 0.000 -6.752961 -2.004771
------------------------------------------------------------------------------[/pre]

[textarea]Logistic regression Number of obs = 74
LR chi2(1) = 11.49
Prob > chi2 = 0.0007
Log likelihood = -39.28864 Pseudo R2 = 0.1276

------------------------------------------------------------------------------
foreign | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
mpg | .1597621 .0525876 3.04 0.002 .0566922 .262832
_cons | -4.378866 1.211295 -3.62 0.000 -6.752961 -2.004771
------------------------------------------------------------------------------

[/textarea]

[samp]Logistic regression Number of obs = 74
LR chi2(1) = 11.49
Prob > chi2 = 0.0007
Log likelihood = -39.28864 Pseudo R2 = 0.1276

------------------------------------------------------------------------------
foreign | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
mpg | .1597621 .0525876 3.04 0.002 .0566922 .262832
_cons | -4.378866 1.211295 -3.62 0.000 -6.752961 -2.004771
------------------------------------------------------------------------------

[/samp]

[sp]Logistic regression Number of obs = 74
LR chi2(1) = 11.49
Prob > chi2 = 0.0007
Log likelihood = -39.28864 Pseudo R2 = 0.1276

------------------------------------------------------------------------------
foreign | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
mpg | .1597621 .0525876 3.04 0.002 .0566922 .262832
_cons | -4.378866 1.211295 -3.62 0.000 -6.752961 -2.004771
------------------------------------------------------------------------------

[/sp]

[invisible]****[/invisible]

[HL]****[/HL]

[var]Logistic regression Number of obs = 74
LR chi2(1) = 11.49
Prob > chi2 = 0.0007
Log likelihood = -39.28864 Pseudo R2 = 0.1276

------------------------------------------------------------------------------
foreign | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
mpg | .1597621 .0525876 3.04 0.002 .0566922 .262832
_cons | -4.378866 1.211295 -3.62 0.000 -6.752961 -2.004771
------------------------------------------------------------------------------
[/var]

[Joseph Coveney]

As shown below:

[Joseph Coveney]

Logistic*regression*******************************Number*of*obs***=*********74
**************************************************LR*chi2(1)******=******11.49
**************************************************Prob*>*chi2*****=*****0.0007
Log*likelihood*=**-39.28864***********************Pseudo*R2*******=*****0.1276

------------------------------------------------------------------------------
*****foreign*|******Coef.***Std.*Err.******z****P>|z|*****[95%*Conf.*Interval]
-------------+----------------------------------------------------------------
*********mpg*|***.1597621***.0525876*****3.04***0.002*****.0566922*****.262832
*******_cons*|**-4.378866***1.211295****-3.62***0.000****-6.752961***-2.004771
------------------------------------------------------------------------------



There's gotta be a better way.

[Joseph Coveney]

What other bulletin boards around the Internet have and Statalist doesn't.

A topic. A post.

[Alan Riley (StataCorp)]

Testing a new [output] ... [/output] bbcode. It should be similar to [code] .. [/code], but with a plain white background and no 'Code:' header in front of it:

. sysuse auto

(1978 Automobile Data)



. regress mpg weight



      Source |       SS       df       MS              Number of obs =      74

-------------+------------------------------           F(  1,    72) =  134.62

       Model |   1591.9902     1   1591.9902           Prob > F      =  0.0000

    Residual |  851.469256    72  11.8259619           R-squared     =  0.6515

-------------+------------------------------           Adj R-squared =  0.6467

       Total |  2443.45946    73  33.4720474           Root MSE      =  3.4389



------------------------------------------------------------------------------

         mpg |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]

-------------+----------------------------------------------------------------

      weight |  -.0060087   .0005179   -11.60   0.000    -.0070411   -.0049763

       _cons |   39.44028   1.614003    24.44   0.000     36.22283    42.65774

------------------------------------------------------------------------------

Here is what [code] ... [/code] would do:

. sysuse auto
(1978 Automobile Data)

. regress mpg weight

      Source |       SS       df       MS              Number of obs =      74
-------------+------------------------------           F(  1,    72) =  134.62
       Model |   1591.9902     1   1591.9902           Prob > F      =  0.0000
    Residual |  851.469256    72  11.8259619           R-squared     =  0.6515
-------------+------------------------------           Adj R-squared =  0.6467
       Total |  2443.45946    73  33.4720474           Root MSE      =  3.4389

------------------------------------------------------------------------------
         mpg |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      weight |  -.0060087   .0005179   -11.60   0.000    -.0070411   -.0049763
       _cons |   39.44028   1.614003    24.44   0.000     36.22283    42.65774
------------------------------------------------------------------------------

[Alan Riley (StataCorp)]

That's not going to work as easily as I thought it might. Adding a new BBcode is easy. However, it turns out that the 'code' BBcode is very special. It doesn't just wrap whatever is in it in the appropriate HTML. There is a special hard-coded function in the forum software source code which strips out things like line-breaks and other characters for the contents of the 'code' tag. It is going to take a bit of a 'hack' to do something like this for a separate output tag.

We'll wait until the next version of the forum software is released to do this. We want to patch the existing code with the updates from the forthcoming new version before making any 'hacks' to it like this.

[Joseph Coveney]

Alan, thanks for taking the time to look into this. I appreciate the hard work you're doing to support Statalist's new forum, and look forward to using the new BBCode.

[Joseph Coveney]

"Paste from Word"

Logistic regression Number of obs = 74
LR chi2(1) = 11.49
Prob > chi2 = 0.0007
Log likelihood = -39.28864 Pseudo R2 = 0.1276

------------------------------------------------------------------------------
foreign | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
mpg | .1597621 .0525876 3.04 0.002 .0566922 .262832
_cons | -4.378866 1.211295 -3.62 0.000 -6.752961 -2.004771
------------------------------------------------------------------------------