Dear Clyde Schechter and other Stata experts,

I have the raw data as follows:

Code:
input str10 A str17(IM IP)
"Code"       "DISA.SI(RI)~U$"    "SUNR.SI(RI)~U$"  
"  1/1/1998" "20.29"             "47.43"          
"  1/8/1998" "17.06"             "28.04"          
" 1/15/1998" "15.81"             "42.54"          
" 1/22/1998" "15.82"             "42.56"          
" 1/29/1998" "16.15"             "43.44"          
"  2/5/1998" "24.41"             "45.14"          
" 2/12/1998" "23.77"             "63.54"          
" 2/19/1998" "22.6"              "64.55"          
" 2/26/1998" "26.52"             "64.63"          
"  3/5/1998" "21.5"              "63.61"          
" 3/12/1998" "21.09"             "64.70999999999999"
" 3/19/1998" "22.07"             "65.3"            
" 3/26/1998" "23.01"             "62.59"          
"  4/2/1998" "18.72"             "61.53"          
"  4/9/1998" "18.3"              "39.24"          
" 4/16/1998" "16.59"             "65.44"          
" 4/23/1998" "16.73"             "50.3"            
" 4/30/1998" "16.79"             "50.47"          
"  5/7/1998" "14.8"              "38.41"          
" 5/14/1998" "13.76"             "48.24"          
" 5/21/1998" "15.49"             "48.88"          
" 5/28/1998" "12.1"              "41.76"          
"  6/4/1998" "11.26"             "42.94"          
" 6/11/1998" "10.18"             "35.84"          
" 6/18/1998" "11.38"             "37.41"          
" 6/25/1998" "10.65"             "36.75"          
"  7/2/1998" "9.66"              "47.02"          
"  7/9/1998" "10.32"             "43.63"          
" 7/16/1998" "9.060000000000001" "40.04"          
" 7/23/1998" "8.140000000000001" "42.27"          
" 7/30/1998" "7.37"              "42.1"            
"  8/6/1998" "8"                 "41.55"          
" 8/13/1998" "7.25"              "37"              
" 8/20/1998" "7.98"              "36.99"          
" 8/27/1998" "7.88"              "36.52"          
"  9/3/1998" "7.94"              "35.34"          
" 9/10/1998" "8.050000000000001" "35.83"          
" 9/17/1998" "8.82"              "36"              
" 9/24/1998" "7.37"              "39.1"            
" 10/1/1998" "7.5"               "39.78"          
" 10/8/1998" "6.91"              "35.27"          
"10/15/1998" "8.66"              "40.14"          
"10/22/1998" "9.380000000000001" "40.67"          
"10/29/1998" "11.73"             "37.49"          
" 11/5/1998" "12.5"              "47.83"          
"11/12/1998" "10.69"             "51.39"          
"11/19/1998" "11.71"             "54.14"          
"11/26/1998" "11.5"              "53.21"          
" 12/3/1998" "10.78"             "56.54"          
"12/10/1998" "11.66"             "57.1"            
"12/17/1998" "11.58"             "44.11"          
"12/24/1998" "10.77"             "43.94"          
"12/31/1998" "10.74"             "43.84"          
"  1/7/1999" "11.37"             "43.29"          
" 1/14/1999" "13.56"             "54.56"          
" 1/21/1999" "13.64"             "47.16"          
" 1/28/1999" "11.98"             "45.85"          
"  2/4/1999" "12"                "39.04"          
" 2/11/1999" "12"                "42.86"          
" 2/18/1999" "13.4"              "42.54"          
" 2/25/1999" "12.47"             "37.43"          
"  3/4/1999" "13.13"             "37.21"          
" 3/11/1999" "13.13"             "37.2"            
" 3/18/1999" "12.47"             "37.42"          
" 3/25/1999" "13.93"             "41.89"          
"  4/1/1999" "13.19"             "37.37"          
"  4/8/1999" "14.64"             "41.82"          
" 4/15/1999" "14.96"             "55.7"            
" 4/22/1999" "22.97"             "55.95"          
" 4/29/1999" "20.15"             "51.78"          
"  5/6/1999" "23.08"             "53.94"          
" 5/13/1999" "22.27"             "46.95"          
" 5/20/1999" "22.81"             "52.55"          
" 5/27/1999" "26.33"             "74.63"          
"  6/3/1999" "30.08"             "79.34"          
" 6/10/1999" "35.43"             "78.33"          
" 6/17/1999" "55.08"             "83.54000000000001"
" 6/24/1999" "62.5"              "91.84999999999999"
"  7/1/1999" "72.31999999999999" "108.02"          
"  7/8/1999" "55.18"             "81.41"          
" 7/15/1999" "44.74"             "57.82"          
" 7/22/1999" "41.01"             "56.3"            
" 7/29/1999" "42.76"             "59.69"          
"  8/5/1999" "39.35"             "55.59"          
" 8/12/1999" "34.06"             "52.51"          
" 8/19/1999" "36.99"             "55.45"          
" 8/26/1999" "47.15"             "65.67"          
"  9/2/1999" "42.84"             "56.74"          
"  9/9/1999" "42.77"             "58.18"          
" 9/16/1999" "41.89"             "58"              
" 9/23/1999" "41.37"             "54.27"          
" 9/30/1999" "37.23"             "53.18"          
" 10/7/1999" "40.71"             "55.38"          
"10/14/1999" "39.97"             "53.86"          
"10/21/1999" "37.92"             "51.07"          
"10/28/1999" "36.45"             "50.36"          
" 11/4/1999" "40.27"             "55.82"          
"11/11/1999" "46.1"              "60.92"          
"11/18/1999" "45.49"             "59.56"          
end
Th
e raw date is exported from Datastream in a form of row, the first column is Date, the sencond column is stock price of firm 1, the thirst column is for firm 2 and so on.....
I need to format the raw data. In details, I need to transpose the panel data to the form that all firms are in one column, and then the next column is Date. But I do not know how to do. Could you please help?

Mr @Cylde gave me the code in previous topic like this


rename A str_date
foreach v of varlist IM-IP {
rename `v' price_`=strtoname(`v'[1])'
}
drop in 1
destring price_*, replace
gen date = daily(str_date, "MDY")
assert missing(date) == missing(str_date)
format date %td
drop str_date

reshape long price_, i(date) j(firm) string
rename price_ price



Here is my results,

Code:
 foreach v of varlist B-ADE{
  2. rename `v' price_`=strtoname(`v'[1]0)'
  3. }
B ambiguous abbreviation
r(111);
I guess that the problem is when I post the raw data, I choose the firms randomly, which is located at column IM and IP. So, Mr Clyde though I have only 2 firms. Actually, I have over 1000 fims, which is from column B to ADE.

I look forward to hearing from you.
Thank you very much in advance.
Regards,
Celine