For example:
# dataset
age<-18:29
height<-58:69
df.ex=data.frame(age=age,height=height)
df.ex[4,1]<-NA
# dataset of columns that will be used for analysis
values<-c("age", "height")
df.variables=data.frame(values)
# Age column has a null (NA) value. The row must be removed for the
analysis to run
# explicit creation
df.ex.sub.explicit<-subset(df.ex, age >= 0)
dim(df.ex.sub.explicit) #11 obs of 2 variables
i=1
strFilter=as.character(df.variables$values[i])
df.ex.sub.passvar<-subset(df.ex,strFilter>=0)
dim(df.ex.sub.explicit) #12 obs of 2 variables
--
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