How do I find slope for large dataset?
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I have a large dataset and i want to compute the gradient for between two corresponding data and their corresponding times for a large data.
time data
20 6.6
30.3 7.2
41 -8.6
. .
. .
for a large dataset i want to do
A = (7.2 - 6.6) / (30.3 - 20) and store all output in a column format in A.
I tried to use a for loop but my output is not what it needs to be
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Jan
2022-11-14
The command gradient(x, t) solves this similar to diff(x) ./ diff(t), but with using the 2-sided difference except for the margins. This replies the same number of elements as the input and is numerically more stable.
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