How to remove rows with any zero value

There are a few different ways of doing this. I prefer using apply, since it's easily extendable:

##Generate some data
dd = data.frame(a = 1:4, b= 1:0, c=0:3)

##Go through each row and determine if a value is zero
row_sub = apply(dd, 1, function(row) all(row !=0 ))
##Subset as usual
dd[row_sub,]

I would do the following.

Set the zero to NA.

 data[data==0] <- NA
 data

Delete the rows associated with NA.

 data2<-data[complete.cases(data),]

You can use filter from dplyr package.

Let's call your data frame df

library(dplyr) df1 <- filter(df, Mac1 > 0, Mac2 > 0, Mac3 > 0, Mac4 > 0)

df1 will have only rows with entries above zero. Hope this helps.