Remove NaN values from a table

Hi,

I have an 84 column table that has EMG, gyroscope, goniometer and analog signal data. It was all collected at different frequencies and there are NaN values for rows that were sampled at lowest rate so that they match the column with largest amount of actual data. I just want to remove these NaN values so that i have a new table with columns of varying length that have actual data, and thus no NaN values. So to just further clarify, lets assume column 1 is emg and has 1000 data points and 200 NaN values, column 2 is gyroscope data so that has 300 data points and 900 NaN values, column 3 is goniometer data that has 400 data points and 800 NaN values and finally column 4 has analog data that contains no NaN values and has 1200 actual data points.

I would like to just remove the NaN values from the table so that column 1 now has 1000 data points, column 2: 300 data points, column 3: 400 data points and column 4 still the original 1200 data points.

can someone please help me out with this?

Thank you in advance!

Answer 1

[Image Analyst]

All columns in a table must be the same number of rows. To have what you want, you'd have to break apart your table into 4 (or 84) separate tables (or double vectors).

[Ines Shekhovtsov]

I've been trying to code by minimizing creating variables in the workspace and storing them in structs instead. HOwever i'm just familiarizing myself with structs. Could someone show me how to do a simple struct based on the example information i have given?

Thank you

[Image Analyst]

Maybe, but yoiu keep forgetting to attach your data. I'll check back later for it.

Answer 2

[Star Strider]

I would not remove the NaN values.

The fillmissing function using the 'previous' method might be the best option.

[Peter Perkins]

Right, as SS says, you should thiknk about why you want to do this. Your life might be easier if you did not. Hard to tell though, you would need to say what happens to these data down the road.