itsp

→	grunfeldavg.dta	↘
	ch5.01.do:3		mathpnl_appended
	ch9.01.do:4
	ch9.01.do:19
	ch5.01.do:23		mathpnl_appended
	ch12.5.do:49
	ch8.2.do:50		ldinvest.dta
	ch9.01.do:90
	ch14.8.do:136

```
grunfeldavg.dta open
file:data:dta
```

All properties
key	content
N	200
datasignature	200:7(73712):1328133071:3423367758
date	Wed Sep 23 21:31:41 EST 2015
lastmodified	1443007901000
panelvar	company
timevar	year
variables	7

Variable Graph Type N Descriptives Label

[+] company
@grunfeldavg.dta

category
(byte)

200
(10)

"1", "2", "3", "4", "5", "6", "7", "8", "9", "10"

All properties
key	content
N	200
N_unique	10
class	category
freq	20, 20, 20, 20, 20, 20, 20, 20, 20, 20
max	10
mean	5.500
min	1
names	"1", "2", "3", "4", "5", "6", "7", "8", "9", "10"
sd	2.879
type	byte
values	1, 2, 3, 4, 5, 6, 7, 8, 9, 10

file # command

ch8.2.do:

55 [+]

tsline invrate if inrange(company, 1, 4) & year >= 1937 , by(company, ti(" ")) /// yline(0) ysc(range(-0.2 0.3)) ytick(-0.2(0.1)0.3) ylab(-0.2(0.1)0.3) /// scheme(s2mono)

ch9.01.do:

5 [+]

levelsof company , local(colist)

9 [+]

quietly regress invest L(1/2).kstock L.kapavg if company == `c'

20 [+]

levelsof company , local(colist)

25 [+]

levelsof company , local(colist)

29 [+]

summarize invest if company == `c' , detail

33 [+]

correlate invest invavg if company == `c'

35 [+]

correlate kstock kapavg if company == `c'

37 [+]

regress invest L.kstock L.kapavg if company == `c'

91 [+]

levelsof company , local(colist)

99 [+]

summarize invest if company == `c' , detail

103 [+]

correlate invest invavg if company == `c'

105 [+]

correlate kstock kapavg if company == `c'

107 [+]

regress invest L.kstock L.kapavg if company == `c'

file # command

ch14.8.do:

140 [+]

keep if company <= 4

142 [+]

reshape wide invest mvalue kstock , i(year) j(company)

Script Output


company:                                        Number of Observations
----------                                  ------------------------------
                                            Total   Integers   Nonintegers
|  #   #   #   #   #         Negative           -         -          -
|  #   #   #   #   #         Zero               -         -          -
|  #   #   #   #   #         Positive         200       200          -
|  #   #   #   #   #                        -----     -----      -----
|  #   #   #   #   #         Total            200       200          -
|  #   #   #   #   #         Missing            -
+----------------------                     -----
1                    10                       200
  (10 unique values)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
     company |       200         5.5    2.879489          1         10
@mean     5.500
@sd     2.879
@min         1
@max        10
@values 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
@names "1", "2", "3", "4", "5", "6", "7", "8", "9", "10"
@freq 20, 20, 20, 20, 20, 20, 20, 20, 20, 20
@type byte
@label 
@class category
@N_unique 10
@N 200

[+] invavg
@grunfeldavg.dta

category
(float)

200
(20)

"72.74600219726563", "77.55500030..275.5830078125"

All properties
key	content
N	200
N_unique	20
class	category
freq	10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10
max	275.583
mean	145.958
min	72.746
names	"72.74600219726563", "77.55500030517578", "80.5260009765625", "101.6069946289063", "113.2649993896484", "117.7900009155273", "120.9250030517578", "122.4810028076172", "122.6650009155273", "124.1590042114258", "139.2440032958984", "139.718994140625", "147.1349945068359", "151.0610046386719", "153.947998046875", "161.3589935302734", "199.5830078125", "224.0330047607422", "273.781005859375", "275.5830078125"
sd	56.208
type	float
values	72.746002, 77.555, 80.526001, 101.60699, 113.265, 117.79, 120.925, 122.481, 122.665, 124.159, 139.244, 139.71899, 147.13499, 151.061, 153.948, 161.35899, 199.58301, 224.033, 273.78101, 275.58301

file # command

ch9.01.do:

33 [+]

correlate invest invavg if company == `c'

103 [+]

correlate invest invavg if company == `c'

Data Manipulations with invavg
file	#	command

Script Output


invavg:                                         Number of Observations
---------                                   ------------------------------
                                            Total   Integers   Nonintegers
|      #                     Negative           -         -          -
|      #                     Zero               -         -          -
|      #                     Positive         200         -        200
|  #   #                                    -----     -----      -----
|  #   #                     Total            200         -        200
|  #   #   #   #   #         Missing            -
+----------------------                     -----
72.746          275.583                       200
  (20 unique values)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      invavg |       200    145.9583    56.20777     72.746    275.583
@mean   145.958
@sd    56.208
@min    72.746
@max   275.583
@values 72.746002, 77.555, 80.526001, 101.60699, 113.265, 117.79, 120.925, 122.481, 122.665, 124.159, 139.244, 139.71899, 147.13499, 151.061, 153.948, 161.35899, 199.58301, 224.033, 273.78101, 275.58301
@names "72.74600219726563", "77.55500030517578", "80.5260009765625", "101.6069946289063", "113.2649993896484", "117.7900009155273", "120.9250030517578", "122.4810028076172", "122.6650009155273", "124.1590042114258", "139.2440032958984", "139.718994140625", "147.1349945068359", "151.0610046386719", "153.947998046875", "161.3589935302734", "199.5830078125", "224.0330047607422", "273.781005859375", "275.5830078125"
@freq 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10
@type float
@label 
@class category
@N_unique 20
@N 200

[+] invest
@grunfeldavg.dta

other
(float)

200
(.)

(x̄=145.958, 216.875) [0.930,1486.700]

All properties
key	content
N	200
N_unique	.
class	other
example0	317.60001
histh	.00687859, .0007067, .00028268, .00047114, .00047114, .00023557, .00018845, .00004711, .00004711, .00004711, .00004711
histw	53.993214, 160.11964, 266.24606, 372.3725, 478.4989, 584.62537, 690.75177, 796.87817, 903.00464, 1327.5103, 1433.6367
max	1486.700
mean	145.958
min	0.930
sd	216.875
type	float

file # command

ch9.01.do:

9 [+]

quietly regress invest L(1/2).kstock L.kapavg if company == `c'

29 [+]

summarize invest if company == `c' , detail

33 [+]

correlate invest invavg if company == `c'

37 [+]

regress invest L.kstock L.kapavg if company == `c'

99 [+]

summarize invest if company == `c' , detail

103 [+]

correlate invest invavg if company == `c'

107 [+]

regress invest L.kstock L.kapavg if company == `c'

ch14.8.do:

143 [+]

list year invest* , sep(0)

file # command

ch8.2.do:

51 [+]

generate linvest = log(invest)

ch14.8.do:

142 [+]

reshape wide invest mvalue kstock , i(year) j(company)

Script Output


invest:                                         Number of Observations
---------                                   ------------------------------
                                            Total   Integers   Nonintegers
|  #                         Negative           -         -          -
|  #                         Zero               -         -          -
|  #                         Positive         200         9        191
|  #                                        -----     -----      -----
|  #                         Total            200         9        191
|  #   .   .   .   .         Missing            -
+----------------------                     -----
.93              1486.7                       200
(More than 99 unique values)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      invest |       200    145.9583    216.8753        .93     1486.7
@mean   145.958
@sd   216.875
@min     0.930
@max  1486.700
@example0 317.60001
@histh .00687859, .0007067, .00028268, .00047114, .00047114, .00023557, .00018845, .00004711, .00004711, .00004711, .00004711
@histw 53.993214, 160.11964, 266.24606, 372.3725, 478.4989, 584.62537, 690.75177, 796.87817, 903.00464, 1327.5103, 1433.6367
@type float
@label 
@class other
@N_unique .
@N 200

[+] kapavg
@grunfeldavg.dta

category
(float)

200
(20)

"62.31000137329102", "74.20099639..5.052978515625"

All properties
key	content
N	200
N_unique	20
class	category
freq	10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10
max	645.053
mean	276.017
min	62.310
names	"62.31000137329102", "74.20099639892578", "102.8769989013672", "139.406005859375", "155.5380096435547", "158.8209991455078", "176.8320007324219", "203.822998046875", "211.9909973144531", "213.6179962158203", "219.2409973144531", "233.6829986572266", "307.9100036621094", "348.9980163574219", "384.3489990234375", "404.5039978027344", "426.6069946289063", "485.7030029296875", "564.8779907226563", "645.052978515625"
sd	160.435
type	float
values	62.310001, 74.200996, 102.877, 139.40601, 155.53801, 158.821, 176.832, 203.823, 211.991, 213.618, 219.241, 233.683, 307.91, 348.99802, 384.349, 404.504, 426.60699, 485.703, 564.87799, 645.05298

file # command

ch9.01.do:

9 [+]

quietly regress invest L(1/2).kstock L.kapavg if company == `c'

35 [+]

correlate kstock kapavg if company == `c'

37 [+]

regress invest L.kstock L.kapavg if company == `c'

105 [+]

correlate kstock kapavg if company == `c'

107 [+]

regress invest L.kstock L.kapavg if company == `c'

Data Manipulations with kapavg
file	#	command

Script Output


kapavg:                                         Number of Observations
---------                                   ------------------------------
                                            Total   Integers   Nonintegers
|  #                         Negative           -         -          -
|  #                         Zero               -         -          -
|  #   #                     Positive         200         -        200
|  #   #   #                                -----     -----      -----
|  #   #   #                 Total            200         -        200
|  #   #   #   #   #         Missing            -
+----------------------                     -----
62.31           645.053                       200
  (20 unique values)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      kapavg |       200    276.0171    160.4345      62.31    645.053
@mean   276.017
@sd   160.435
@min    62.310
@max   645.053
@values 62.310001, 74.200996, 102.877, 139.40601, 155.53801, 158.821, 176.832, 203.823, 211.991, 213.618, 219.241, 233.683, 307.91, 348.99802, 384.349, 404.504, 426.60699, 485.703, 564.87799, 645.05298
@names "62.31000137329102", "74.20099639892578", "102.8769989013672", "139.406005859375", "155.5380096435547", "158.8209991455078", "176.8320007324219", "203.822998046875", "211.9909973144531", "213.6179962158203", "219.2409973144531", "233.6829986572266", "307.9100036621094", "348.9980163574219", "384.3489990234375", "404.5039978027344", "426.6069946289063", "485.7030029296875", "564.8779907226563", "645.052978515625"
@freq 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10
@type float
@label 
@class category
@N_unique 20
@N 200

[+] kstock
@grunfeldavg.dta

other
(float)

200
(.)

(x̄=276.017, 301.104) [0.800,2226.300]

All properties
key	content
N	200
N_unique	.
class	other
example0	2.8
histh	.0025792, .00172995, .00106942, .00031454, .00028308, .00012581, .00006291, .00003145, .00003145, .00003145, .00003145
histw	80.282143, 239.24643, 398.21072, 557.17499, 716.13928, 875.10358, 1034.0679, 1193.0322, 1351.9965, 1828.8893, 2146.8179
max	2226.300
mean	276.017
min	0.800
sd	301.104
type	float

file # command

ch9.01.do:

9 [+]

quietly regress invest L(1/2).kstock L.kapavg if company == `c'

35 [+]

correlate kstock kapavg if company == `c'

37 [+]

regress invest L.kstock L.kapavg if company == `c'

105 [+]

correlate kstock kapavg if company == `c'

107 [+]

regress invest L.kstock L.kapavg if company == `c'

file # command

ch14.8.do:

142 [+]

reshape wide invest mvalue kstock , i(year) j(company)

Script Output


kstock:                                         Number of Observations
---------                                   ------------------------------
                                            Total   Integers   Nonintegers
|  #                         Negative           -         -          -
|  #                         Zero               -         -          -
|  #                         Positive         200        31        169
|  #                                        -----     -----      -----
|  #                         Total            200        31        169
|  #   .   .   .   .         Missing            -
+----------------------                     -----
.8               2226.3                       200
(More than 99 unique values)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      kstock |       200    276.0172    301.1039         .8     2226.3
@mean   276.017
@sd   301.104
@min     0.800
@max  2226.300
@example0 2.8
@histh .0025792, .00172995, .00106942, .00031454, .00028308, .00012581, .00006291, .00003145, .00003145, .00003145, .00003145
@histw 80.282143, 239.24643, 398.21072, 557.17499, 716.13928, 875.10358, 1034.0679, 1193.0322, 1351.9965, 1828.8893, 2146.8179
@type float
@label 
@class other
@N_unique .
@N 200

[+] mvalue
@grunfeldavg.dta

other
(float)

200
(.)

(x̄=1081.681, 1314.470) [58.120,6241.700]

All properties
key	content
N	200
N_unique	.
class	other
example0	3078.5
histh	.00112071, .00043017, .0000566, .0001698, .00019245, .00004528, .00004528, .00003396, .00002264, .00003396, .00006792, .00001132, .00002264, .00001132
histw	278.96216, 720.64642, 1162.3307, 1604.015, 2045.6993, 2487.3835, 2929.0679, 3370.7522, 3812.4365, 4254.1206, 4695.8052, 5137.4893, 5579.1738, 6020.8579
max	6241.700
mean	1081.681
min	58.120
sd	1314.470
type	float

file # command

ch14.8.do:

142 [+]

reshape wide invest mvalue kstock , i(year) j(company)

Script Output


mvalue:                                         Number of Observations
---------                                   ------------------------------
                                            Total   Integers   Nonintegers
|  #                         Negative           -         -          -
|  #                         Zero               -         -          -
|  #                         Positive         200        18        182
|  #                                        -----     -----      -----
|  #                         Total            200        18        182
|  #   #   .   .   .         Missing            -
+----------------------                     -----
58.12            6241.7                       200
(More than 99 unique values)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      mvalue |       200    1081.681     1314.47      58.12     6241.7
@mean  1081.681
@sd  1314.470
@min    58.120
@max  6241.700
@example0 3078.5
@histh .00112071, .00043017, .0000566, .0001698, .00019245, .00004528, .00004528, .00003396, .00002264, .00003396, .00006792, .00001132, .00002264, .00001132
@histw 278.96216, 720.64642, 1162.3307, 1604.015, 2045.6993, 2487.3835, 2929.0679, 3370.7522, 3812.4365, 4254.1206, 4695.8052, 5137.4893, 5579.1738, 6020.8579
@type float
@label 
@class other
@N_unique .
@N 200

[+] year
@grunfeldavg.dta

category
(float)

200
(20)

"1935", "1936", "1937", "1938", ".. "1953", "1954"

All properties
key	content
N	200
N_unique	20
class	category
freq	10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10
max	1954.000
mean	1944.500
min	1935.000
names	"1935", "1936", "1937", "1938", "1939", "1940", "1941", "1942", "1943", "1944", "1945", "1946", "1947", "1948", "1949", "1950", "1951", "1952", "1953", "1954"
sd	5.781
type	float
values	1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954

file # command

ch8.2.do:

55 [+]

tsline invrate if inrange(company, 1, 4) & year >= 1937 , by(company, ti(" ")) /// yline(0) ysc(range(-0.2 0.3)) ytick(-0.2(0.1)0.3) ylab(-0.2(0.1)0.3) /// scheme(s2mono)

ch14.8.do:

143 [+]

list year invest* , sep(0)

file # command

ch8.2.do:

54 [+]

label var invrate "Three-year average investment rate"

ch14.8.do:

142 [+]

reshape wide invest mvalue kstock , i(year) j(company)

Script Output


year:                                           Number of Observations
-------                                     ------------------------------
                                            Total   Integers   Nonintegers
|  #   #   #   #   #         Negative           -         -          -
|  #   #   #   #   #         Zero               -         -          -
|  #   #   #   #   #         Positive         200       200          -
|  #   #   #   #   #                        -----     -----      -----
|  #   #   #   #   #         Total            200       200          -
|  #   #   #   #   #         Missing            -
+----------------------                     -----
1935               1954                       200
  (20 unique values)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
        year |       200      1944.5    5.780751       1935       1954
@mean  1944.500
@sd     5.781
@min  1935.000
@max  1954.000
@values 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954
@names "1935", "1936", "1937", "1938", "1939", "1940", "1941", "1942", "1943", "1944", "1945", "1946", "1947", "1948", "1949", "1950", "1951", "1952", "1953", "1954"
@freq 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10
@type float
@label 
@class category
@N_unique 20
@N 200

Content



>  * A do file to run the standard stats for a whole data set. 
>  *
>  * Note that you must delete the files in the derived directory
>  * for changes to be reflected in the output.
>  *
>  * @version 0.1
> */

Contains data from /Users/mas/Dropbox/Stata_conference_2015/itsp/grunfeldavg.dta
  obs:           200                          
 vars:             7                          1 Jul 2007 23:37
 size:         5,000                          
Sorted by:  company  year
@N 200
@variables 7
  200:7(73712):1328133071:3423367758
@datasignature 200:7(73712):1328133071:3423367758
       panel variable:  company (strongly balanced)
        time variable:  year, 1935 to 1954
                delta:  1 year
@timevar year
@panelvar company
. 
  2. 
  3. qui {
  4. local category_cutoff = 30
  5. 
  6. local unique = ""
  7. local total = ""
  8. local class = ""
  9. 
 10. local label : variable label `var' 
 11. 
 12. 
 13. if ( !_rc ) {
 14.     // we now it is a string
 15.     capture tab `var', matcell( freq )
 16.     if ( !_rc ) {
 17.     
 18.         local unique = r(r)
 19. 
 20.         forvalues i=1/`unique' {
 21.             if ( `i' == 1 ) {
 22.                 noi di "@freq " _continue
 23.             }
 24.             noi di freq[`i',1] _continue
 25.             if ( `i' == `unique' ) {
 26.                 noi di ""
 27.             }
 28.             else {
 29.                 noi di ", " _continue
 30.             }
 31.         }
 32. 
 33.         local i = 1
 34.         foreach l of local levels {
 35.             if ( `i' == 1 ) {
 36.                 noi di "@values " _continue
 37.             }
 38.             noi di `""`l'""' _continue
 39.             if ( `i' == `unique' ) {
 40.                 noi di ""
 41.             }
 42.             else {
 43.                 noi di ", " _continue
 44.             }
 45.             local i = `i' + 1
 46.         }
 47.         }
 48.         
 49.             local class = "empty"
 50.         }
 51.         else if ( `unique' == 1 ) {
 52.             local class = "constant"
 53.         }
 54.         else if ( `unique' == 2 ) {
 55.             local class = "dummy"
 56.         }
 57.         else if ( `unique' < `category_cutoff' & `unique' < `total' ) {
 58.             local class = "category"
 59.         }
 60.         else if (`unique' == `total') {
 61.             local class = "identifier"
 62.         } 
 63.         else {
 64.             local class = "string"
 65.         }        
 66.     }
 67.     else {
 68.         // lots of observations, not sure what to do yet
 69.     }
 70. }
 71. else {
 72.     // else assume it is numeric
 73. 
 74.     local unique = r(N_unique)
 75. 
 76.         local cat = "YES"
 77.     }
 78. 
 79.         if ( `total' == 0 ) {
 80.             local class = "empty"
 81.         }
 82.         else if ( `unique' == 1 ) {
 83.             local class = "constant"
 84.         }
 85.         else if ( `unique' == 2 ) {
 86.             local class = "dummy"
 87.         }
 88.         else if ( `unique' < `category_cutoff' & `unique' < `total' ) {
 89.             capture confirm string variable `var'
 90.             if ( !_rc ) {
 91.                 local class = "other"
 92.             } 
 93.             else {
 94.                 local class = "category"
 95.             }
 96.         }
 97.         else if (`r(N_unique)' == `r(N)') {
 98.             local class = "identifier"
 99.         }
100.     }
101. 
102.     local min = r(min)
103.     local max = r(max)
104.     local nobs = r(N)
105.     
106.         noi di "@mean " %9.0f r(mean)
107.     } 
108.     else {
109.         noi di "@mean " %9.3f r(mean)
110.     }
111.     noi di "@sd " %9.3f `r(sd)'
112.     // noi di "@skewness " %9.3f `r(skewness)'
113.       noi di "@min " %9.3f `r(min)'
114.       noi di "@max " %9.3f `r(max)'
115.       // noi di "@p50 " %9.3f `r(p50)'
116.     else {
117.       noi di "@min " %9.0f `r(min)'
118.       noi di "@max " %9.0f `r(max)'
119.       // noi di "@p50 " %9.0f `r(p50)'
120. }
121. 
122.     noi di "@values " `var'[1]
123. }
124. else if ( "`class'" == "category" | "`class'" == "dummy" ) {
125.     cap noi {
126.         if ( "`isstr'" != "YES" ) {
127.             cap tab `var', matcell( freq ) matrow( name )
128.             if ( _rc != 0 | ("`r(r)'" != "`unique'") ) {
129.                 local class = "other"
130.                 local unique = r(r)
131.             }
132.             else {
133.                 forvalues i=1/`unique' {
134.                     if ( `i' == 1 ) {
135.                         noi di "@values " _continue
136.                     }
137.                     noi di name[`i',1] _continue
138.                     if ( `i' == `unique' ) {
139.                         noi di ""
140.                     }
141.                     else {
142.                         noi di ", " _continue
143.                     }
144.                 }
145.                 forvalues i=1/`unique' {
146.                     if ( `i' == 1 ) {
147.                         noi di "@names " _continue
148.                     }
149.                     local val = name[`i',1]
150.                     local lab :label (`var') `val'
151.                     noi di `""`lab'""' _continue
152.                     if ( `i' == `unique' ) {
153.                         noi di ""
154.                     }
155.                     else {
156.                         noi di ", " _continue
157.                     }
158.                 }
159.                 forvalues i=1/`unique' {
160.                     if ( `i' == 1 ) {
161.                         noi di "@freq " _continue
162.                     }
163.                     noi di freq[`i',1] _continue
164.                     if ( `i' == `unique' ) {
165.                         noi di ""
166.                     }
167.                     else {
168.                         noi di ", " _continue
169.                     }
170.                 }
171.             }
172.         }
173.     }
174. }
175. else {
176.     noi di "@example0 " `var'[1]
177. }
178. 
179. cap noi {
180.     tempvar h w
181.     twoway__histogram_gen `var', gen( `h' `w' )
182.     forvalues i=1/`=r(n_x)' {
183.         if ( `i' == 1 ) {
184.             noi di "@histh " _continue
185.         }
186.         noi di `h'[`i'] _continue
187.         if ( `i' == `=r(n_x)' ) {
188.             noi di ""
189.         }
190.         else {
191.             noi di ", " _continue
192.         }
193.     }
194.     forvalues i=1/`=r(n_x)' {
195.         if ( `i' == 1 ) {
196.             noi di "@histw " _continue
197.         }
198.         noi di `w'[`i'] _continue
199.         if ( `i' == `=r(n_x)' ) {
200.             noi di ""
201.         }
202.         else {
203.             noi di ", " _continue
204.         }
205.     }
206.     }
207. }
208. 
209. noi di "@label `label'"
210. noi di "@class `class'"
211. noi di "@N_unique `unique'"
212. noi di "@N `total'"
213. 
214. noi di "_@NOTES"
215. 
216. 
217. }
218.

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    dta grunfeldavg grunfeldavg dta

File grunfeldavg.dta

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