How to get NaN if the data is not in proper input format or missing?
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Struggling in MATLAB 2022 年 5 月 31 日
コメント済み: Struggling in MATLAB 2022 年 6 月 1 日
I am running a function over each table rows. It is a big table and some of the entries are 'NaN' (class: 'double') or 'none' (class: 'char'). There may some missing entries too. I want to get 'NaN' as output if any of the table entries is not a valid entry. How should I approach it? I have uploaded the table in attachment. My function is as follows.
function [logical_out, reaction_time, average_position] = new_table2(name,date,Trial)
Walter Roberson 2022 年 5 月 31 日
編集済み: Walter Roberson 2022 年 5 月 31 日
standardize missing. Then rmmissing https://www.mathworks.com/help/matlab/ref/rmmissing.html with the second output to show which rows were removed. Run the function on the reduced data, and then inject the results into a larger vector of nan values to match up to the original rows.
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