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How does one obtain the covariance matrix for the fixed effects from fitting a mixed effect model using fitlme or fitlmematrix?
A LinearMixedModel object lme has a CoefficientCovariance property, which you can obtain with lme.CoefficientCovariance This i...

約1年 前 | 0

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Hyperparameter optimization fitrnet not working
Per the documentation for fitrnet ... "You can use an array ResponseVarName to specify multiple response variables. (since R202...

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Shapley based feature selection
The Shapley values don't require the class labels (i.e. the actual responses) to determine feature importance. The Shapley valu...

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Project Euler: Problem 4, Palindromic numbers
A palindromic number reads the same both ways. The largest palindrome made from the product of two 2-digit numbers is 9009 = 91 ...

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Project Euler: Problem 3, Largest prime factor
The prime factors of 13195 are 5, 7, 13 and 29. What is the largest prime factor of the number being input, input might be ui...

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Solve a System of Linear Equations
Example: If a system of linear equations in x₁ and x₂ is: 2x₁ + x₂ = 2 x₁ - 4 x₂ = 3 Then the coefficient matrix (A) is: 2 ...

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Verify Law of Large Numbers
If a large number of fair N-sided dice are rolled, the average of the simulated rolls is likely to be close to the mean of 1,2,....

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Word Counting and Indexing
You are given a list of strings, each being a list of words divided by spaces. Break the strings into words, then return a maste...

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Magic is simple (for beginners)
Determine for a magic square of order n, the magic sum m. For example m=15 for a magic square of order 3.

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Rotate Matrix @180 degree
Rotate Matrix @180 degree Example A=[8 1 6; 3 5 7; 4 9 2], then answer would be [2 9 4;...

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Converts numbers into characters
Converts numbers into characters

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Find the max element of the array
Find the max element of the array

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Square root
Given x (a matrix), give back another matrix, where all the elements are the square roots of x's elements.

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Calculate the average value of the elements in the array
Calculate the average value of the elements in the array

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to the 2 all elements
to the 2 all elements

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the average value of the elements
Calculate the average value of the elements in the array

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Double all elements in the array
Duplicate all elements in the array

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calculate the length of matrix
input 1 array, calculate the length

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Draw a '0' in a one matrix!

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Length of the hypotenuse
Given short sides of lengths a and b, calculate the length c of the hypotenuse of the right-angled triangle. <<https://i.imgu...

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Maximum value in a matrix
Find the maximum value in the given matrix. For example, if A = [1 2 3; 4 7 8; 0 9 1]; then the answer is 9.

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Return area of square
Side of square=input=a Area=output=b

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Convert from Fahrenheit to Celsius
Given an input vector F containing temperature values in Fahrenheit, return an output vector C that contains the values in Celsi...

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Calculate Amount of Cake Frosting
Given two input variables r and h, which stand for the radius and height of a cake, calculate the surface area of the cake you n...

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Find the Oldest Person in a Room
Given two input vectors: * |name| - user last names * |age| - corresponding age of the person Return the name of the ol...

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Preserving More Decimal Places When Importing Excel Files with readtable in MATLAB
All decimal places are retained for me ... % Change the format format long % Read the file r = readtable("Lab.xlsx"); % H...

1年以上 前 | 0

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How to get MPE (Mean Percentage Error) with plsregress
The documentation doesn't seem to indicate any way to change the metric that is optimized. (This is unsurprising to me.) I can ...

1年以上 前 | 0

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Why is bootci giving different interval than prctile?
Because your prctile calculation should be ci = prctile(bootstat, [(alpha/2)*100,(1-(alpha/2))*100]);

1年以上 前 | 1

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Tiling stacks of boxplots. Each stack contains 5 boxplots
Would subplot(2,5,1) ... subplot(2,5,10) do what you want? Also, I would highly recommend using tiledlayout over subplot. It ta...

1年以上 前 | 0

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how to apply PCA over 6000x82 data
Take a look at this answer of mine which is effectively a tutorial on the MATLAB pca function.

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