If and apply?

Hello,

I'm trying to replace any value within a column where the value is  
less than 10% of the median of the column with NA.  In other words,  
if the median of one column is 500, any value in that column that is  
less than 50 should become NA.

Doing a lot of searches, it seems like I should be using apply.  But  
when I put the if statement inside like this, I get serious errors:

test<-apply(gc2,2,function(x){if(x<(0.1*median(x))), NA})

Error: unexpected ',' in "test<-apply(gc2,2,function(x) 
{if(x<(0.1*median(x))),"

test<-apply(gc2,2,function(x){if(x<(0.1*median(x))) NA})

There were 50 or more warnings (use warnings() to see the first 50)
In if (x < (0.1 * median(x))) x <- NA :
 the condition has length > 1 and only the first element will be used

Trying

test<-apply(gc2,2,function(x){x[x<(0.1*median(x))]<- NA})
head(test)

NA.01.N NA.01.T NA.02.N NA.02.T NA.03.N NA.03.T
    NA      NA      NA      NA      NA      NA

I'm sure that I could get it to work if I read each column  
individually into a vector, calculate the median, replace the values  
if less than 0.1*median, then rebind it into a new matrix.  However,  
I'm hoping there is a more elegant way.

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Hello,

I'm trying to replace any value within a column where the value is less than 10% of the median of the column with NA. ?In other words, if the median of one column is 500, any value in that column that is less than 50 should become NA.

Doing a lot of searches, it seems like I should be using apply. ?But when I put the if statement inside like this, I get serious errors:

test<-apply(gc2,2,function(x){if(x<(0.1*median(x))), NA})

Error: unexpected ',' in "test<-apply(gc2,2,function(x){if(x<(0.1*median(x))),"

test<-apply(gc2,2,function(x){if(x<(0.1*median(x))) NA})

There were 50 or more warnings (use warnings() to see the first 50)
In if (x < (0.1 * median(x))) x <- NA :
?the condition has length > 1 and only the first element will be used

Trying

test<-apply(gc2,2,function(x){x[x<(0.1*median(x))]<- NA})
head(test)

NA.01.N NA.01.T NA.02.N NA.02.T NA.03.N NA.03.T
? ? NA ? ? ?NA ? ? ?NA ? ? ?NA ? ? ?NA ? ? ?NA


I'm sure that I could get it to work if I read each column individually into a vector, calculate the median, replace the values if less than 0.1*median, then rebind it into a new matrix. ?However, I'm hoping there is a more elegant way.

Do you have any suggestions?


Thank you for your help.
Rose


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