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Readtable function reads the return of CRSP data as cell array
This will convert that column to numbers (assuming all elements in that column can be converted to numbers) (EDIT: sorry I have...

5 years 前 | 0

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Changing from char variable to another input
Your *.mot files are coming in as one very long character array. You can either try to parse it character-by-character into a c...

5 years 前 | 2

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Check if all data in a table are numbers
This is how I would approach it... DataTable = readtable(filename,'Sheet','Sheet1'); % load your data TF = cellfun(@isnumeric,...

5 years 前 | 1

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Using two vectors to get the third one
x = [0,1,2,4,5,7,8,9,10,12,13,14,16,17,18,20,21,23]; % here's your first column y = x*rand()+rand(); % here's a vague represent...

5 years 前 | 1

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Make an array Arr where element Arr(m,n)=i(m)+j(n)*i(m), and i is changing from -5 to 20 and j is changing from -13 to 9.
Make a nested For Loop with a loop for each dimension. Something like this: for ii = 1:26 i = ii-6; for jj = 1:23 ...

5 years 前 | 0

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Plot 4d data
May not be the most efficient, but this is what I came up with: Here's my sample data based on my interpretation of your descri...

5 years 前 | 0

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How to skip NaN values in cross correlation between 2 time series datasets.
I encountered this same issue a few weeks ago. My solution was to use fillmissing() to patch up the NaN's. I also used resample...

5 years 前 | 0

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Trouble using pchip to interpolate
You'll need to pre-process your data to resolve this. However, the method is up to you and depends on what you're trying to do. ...

5 years 前 | 3

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How to generate random points and place it within a rectangular/ square boundary?
Check out the intersect function. Here is one approach: % generate a rectangular boundry rectX = [0.1 0.1 0.9 0.9]; rectY = ...

5 years 前 | 1

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提问

Adding secondary r axis to polar plots
I would like to add a secondary r-axis to a polarplot with different limits. The analogous in cartesian would of course be util...

5 years 前 | 0 个回答 | 0

提问

Strategies for reducing calculation time: Finding values in a large array
I have multiple individual large arrays (each are as much as 1 million rows) making up a "complete dataset". Each has two column...

5 years 前 | 1 个回答 | 0