Need to clean a table, and compute mean and SD

Hi

For a school project I have a file with 120 columns and  ~2000 lines. This
file contains timestamps of spike detected in 60 channels, and the time
elapsed between the last spike.

I need to clean too high values. About 98% of values are between 0 and 2000
and 2% are between 2000 and 20'000. I want to get rid of theses values.

Please could you help me?

Regards 

Thom
  

Hi,

If you are dealing with a data frame, you can simply use the index 
function like this,

my.data.frame[my.data.frame>2000] = NA

This way, all values in your data.frame that are greater than 2000 will 
be transformed into NAs. However, this kind of substitution wouldn't be 
recommended if your goal is to fit a regression model to the data. 
Missing data can sometimes be informative, hence the importance to be 
careful when doing such substitutions.

*Luc Villandr?*