Create new column in table from data across multiple columns

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DavidL88
DavidL88 on 4 Nov 2021
Commented: DavidL88 on 4 Nov 2021
I have a table with multiple events (P1, P2, N1, early P3, P3) listed in one column, ROI. There are several adjacent columns with latencies that have the same events in their titles. I would like to create a new column (Latencies) with the latencies in the adjacent columns extracted and matched the events in the ROI column. For example if the event under ROI is P1 then under the new column, Latencies, the data in the same row under P1_Max_Lat would be copied. I attached a sample table.

Accepted Answer

Image Analyst
Image Analyst on 4 Nov 2021
Try this:
load('Example_table.mat')
[rows, columns] = size(sampletable)
tLatencies = table(zeros(rows, 1), 'VariableNames', {'Latencies'})
newTable = [sampletable, tLatencies]
for row = 1 : rows
% Get the event name.
event = newTable.ROI{row}
% Based on that, get the name of the column
% we need to look for to get the data.
columnName = sprintf('%s_Max_Lat', event)
% If that column is there, copy the number to the Latencies column.
if ismember(columnName, newTable.Properties.VariableNames)
% Get data from the appropriate column.
data = newTable.(columnName)(row)
% Put data into the latencies column
newTable.Latencies(row) = data;
else
fprintf('There is no column called %s in the table.\n', columnName);
end
end
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