Effacer les filtres
Effacer les filtres

Not able to make dummy variables

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Malene Brautaset
Malene Brautaset le 19 Mar 2022
Commenté : Voss le 25 Mar 2022
Hello.
We have a problem making dummy variables since our variables has ' ' around them ('M'). We have a column with 'M' and 'F' and have to make dummy variables in order to use it in our regression.
How do we fix this?

Réponses (1)

Voss
Voss le 19 Mar 2022
Modifié(e) : Voss le 19 Mar 2022
C = readcell('data.csv')
C = 4×6 cell array
{'pcid' } {'year'} {'currency'} {'gender'} {'revenue'} {'netIncome'} {[887700702]} {[2010]} {''NOK'' } {''F'' } {[9837000]} {[ 533000]} {[887704902]} {[2010]} {''NOK'' } {''M'' } {[ 757000]} {[ -224000]} {[887705992]} {[2010]} {''NOK'' } {''M'' } {[6631000]} {[ 681000]}
dummy_gender = strcmp(C(2:end,4),'''M''')
dummy_gender = 3×1 logical array
0 1 1
  2 commentaires
Malene Brautaset
Malene Brautaset le 25 Mar 2022
Thank you! This worked. But however, we want to keep our dataset in a table; is there a code we can use for the original dataset in a table?
Voss
Voss le 25 Mar 2022
You're welcome!
Sure, here is a table version:
T = readtable('data.csv')
T = 3×6 table
pcid year currency gender revenue netIncome __________ ____ _________ _______ _________ _________ 8.877e+08 2010 {''NOK''} {''F''} 9.837e+06 5.33e+05 8.877e+08 2010 {''NOK''} {''M''} 7.57e+05 -2.24e+05 8.8771e+08 2010 {''NOK''} {''M''} 6.631e+06 6.81e+05
dummy_gender = strcmp(T{:,'gender'},'''M''')
dummy_gender = 3×1 logical array
0 1 1

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