If you don't mind avoiding a loop, here's one way to
solve your problem:
myDF =
data.frame(id=c(100,101),d1=c(.3,.3),d2=c(.4,.4),d3=c(-.2,.5),d4=c(-.3,.6),d5=c(.5,-.2),d6=c(.6,-.4),d7=c(-.9,-.5),d8=c(-.8,-.6))
doit =
function(x)c(x[1],sum_positive=sum(x[-1][x[-1]>0]),sum_negative=sum(x[-1][x[-
I have the following datasets:
id d1 d2 d3 d4 d5 d6 d7 d8
1 100 0.3 0.4 -0.2 -0.3 0.5 0.6 -0.9 -0.8
2 101 0.3 0.4 0.5 0.6 -0.2 -0.4 -0.5 -0.6
what I am trying to accomplish:
loop through the rows && do the following:
if the values from the columns of the current row >0
2 matches
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