Hi everyone and thank you for the help you could give me.
My data is in a spreadsheet. The 1st column identifies the
firm (with the fiscal number), the columns 2 to 11 have
the variable value for 11 years. I have many variables
(files like this). Each file has about 40.000 firms
(rows). I transformed all the files in txt files. The data
is a panel data, like this:
firm revenu2007 revenue2006 revenue2005 revenue2004
revenue2003 revenue2002 revenue2001 revenue2000 revenue1999
revenue1998
500100144
504394029 4282809 3769159 3520807 3548322 3458122
503264032
502011475 2595780 2417433 2299563 2060552 1804531 1821638 1789533
1463371 947712
500400911
504615947 22801 28656 27067 26182 26356 34060 39147
502616695 1412354 1209619 1429755 1623496 1955123 2273486 2087406
2076868 2036937
500829993 1383396 1095570 805830 793809 777591 791614 779924
774560 702845
The objective of my work is to do linear regressions with
the variables in the files or with other variables that I
can obtain from those by doing some mathematical
operations. Ive already tried to import this information
to an array in R, but Ive seen that the linear
regressions functions need the data into a dataframe. So
Im asking: How to import this information to a dataframe
in R, in a manner that I can easily do the mathematical
operations between the variables and then use it to do the
regressions?
Cecília Carmo
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