Question

I am trying to figure out a way to loop through my data frame and replace any values greater than 200 with a decimal point.

Here is my code:

for (i in data$AGE) if (i > 199) i <- i*.01-2

Here is a head() sample of my data frame:

  AGE LOC RACE SEX WORKREL PROD1 ICD10 INJ_ST DTH_YEAR DTH_MONTH DTH_DAY ACC_YEAR ACC_MONTH ACC_DAY
1  26   5    1   1       0  1290  V865     UT     2003         1       1     2002        12      31
2  20   1    7   2       0  1899   X47     HI     2003         1       1     2003         1       1
3 202   1    2   2       0  1598   W75     FL     2003         1       1     2003         1       1
4  86   5    1   2       0  1807   W18     FL     2003         1       1     2002        12      14
5 203   1    2   1       0  1598   W75     GA     2003         1       1     2003         1       1
6  79   0    1   2       2   921   X49     MA     2003         1       1       NA        NA      NA

So basically, if the value of AGE is greater than 200, then I want to multiply that value by .01 and then subtract 2.

My reason is because any value with 200 and greater is the age in months.

I’m not a Stats or R genius so my humble thanks in advance for all advice.

Answer 1

data$AGE[data$AGE> 200] <- data$AGE[data$AGE > 200] * 0.01 - 2