Let's assume I have this dataframe:
df <- data.frame(GN1 = sample(1:10, 10 ,replace=TRUE),
GN2 = sample(1:10, 10 ,replace=TRUE),
GN3 = sample(1:10, 10 ,replace=TRUE),
E10 = sample(1:10, 10 ,replace=TRUE),
PSV7 = sample(1:10, 10 ,replace=TRUE),
PEC3 = sample(1:10, 10 ,replace=TRUE),
PEC4 = sample(1:10, 10 ,replace=TRUE),
AC6 = sample(1:10, 10 ,replace=TRUE),
AC7 = sample(1:10, 10 ,replace=TRUE),
stringsAsFactors = FALSE)
GN1 GN2 GN3 E10 PSV7 PEC3 PEC4 AC6 AC7
1 7 3 10 6 4 4 3 9 3
2 2 5 6 6 6 6 5 7 1
3 7 6 10 6 9 1 9 7 5
4 7 1 8 9 2 4 5 5 7
5 8 3 3 8 6 8 9 5 10
6 7 1 1 8 9 3 8 9 4
7 4 6 4 7 2 6 9 8 9
8 7 8 8 7 2 1 7 6 5
9 1 9 4 8 5 5 2 7 1
10 4 9 2 1 4 4 10 2 9
And I want to run this formula:
c_SA=lm(formula = GN1 ~ ifelse(df2$if_a == 1,PEC3+PEC4+AC6,GN2+GN3+E10+PSV7+PEC3), data = df)
Where df2$if_a
is a external value from df
and it just can take the values 0
or 1
(df2
has just one row). As you can see above, If df2$if_a == 1
I need to run the first "pack" of variables, while if its equal to 0, I need to run the other "pack" of variables.
I have tried as.formula()
and reformulate()
without success:
c_SA=lm(formula = GN1 ~ ifelse(df2$if_a == 1,as.formula(PEC3+PEC4+AC6),as.formula(GN2+GN3+E10+PSV7+PEC3)), data = df)
Also, there are some similar questions (1,2,3). However, they subset the dataframe in the data =
argument, and I need to make the formula =
argument subject to a value of a external source.
Any suggestions?