Jeff Miller
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Finding the minimum of a complicated function with variables and parameters
If I understand the problem correctly, then this should be close to what you want: function bestEsts = MyOuterFn(x,y) MyErrFn ...
Finding the minimum of a complicated function with variables and parameters
If I understand the problem correctly, then this should be close to what you want: function bestEsts = MyOuterFn(x,y) MyErrFn ...
약 21시간 전 | 0
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How to get correct p-values for the Steel-Dwass test?
The problem is with the 'inf' value given as the degrees of freedom in this line p_steelDwass(i, 1) = 1 - tcdf(t_steelDwass...
How to get correct p-values for the Steel-Dwass test?
The problem is with the 'inf' value given as the degrees of freedom in this line p_steelDwass(i, 1) = 1 - tcdf(t_steelDwass...
2일 전 | 0
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How to calculate for significant difference between Cohen's Kappa values?
As I understand it, the fundamental question is whether tests A & B agree better than tests A & C, beyond a minor improvement th...
How to calculate for significant difference between Cohen's Kappa values?
As I understand it, the fundamental question is whether tests A & B agree better than tests A & C, beyond a minor improvement th...
3일 전 | 0
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fsolve doesn't find a solution when the value of the objective function is obtained through a Montecarlo simulation
I don't know if it can be done in the context of your simulation, but sometimes it is helpful to pick the "random" variables sys...
fsolve doesn't find a solution when the value of the objective function is obtained through a Montecarlo simulation
I don't know if it can be done in the context of your simulation, but sometimes it is helpful to pick the "random" variables sys...
4일 전 | 0
질문
speed up integrating the same function over many overlapping intervals?
I need to compute many different integrals of the same function fn, essentially like this: Xint = size(X); for i=1:numel(X) ...
7일 전 | 답변 수: 2 | 0
2
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Differences between functions ezfit and Matlab's gamfit in fitting data to the gamma distribution?
There are two somewhat different parameterizations of the gamma distribution. In one (which I think is used by gamfit), the mean...
Differences between functions ezfit and Matlab's gamfit in fitting data to the gamma distribution?
There are two somewhat different parameterizations of the gamma distribution. In one (which I think is used by gamfit), the mean...
7일 전 | 0
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How do I calculate the R^2?
Either of these: Rsqr = corr(x(:,2),y)^2; RsqrAlso = 1-(std(resids)/std(y))^2;
How do I calculate the R^2?
Either of these: Rsqr = corr(x(:,2),y)^2; RsqrAlso = 1-(std(resids)/std(y))^2;
8일 전 | 1
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I would like to find elements of a matrix that fulfill a condition but after every loop the condition is changing.
I think this will almost do what you want. edges = 0:0.05:30; [~,~,bin_numbers] = histcounts(diameters,edges); The output bin...
I would like to find elements of a matrix that fulfill a condition but after every loop the condition is changing.
I think this will almost do what you want. edges = 0:0.05:30; [~,~,bin_numbers] = histcounts(diameters,edges); The output bin...
10일 전 | 0
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Generating a categorical array with group names
Is this what you are after? part1 = repmat({'Name1'},1055,1); part2 = repmat({'Name2'},1641,1); part3 = repmat({'Name3'},2055...
Generating a categorical array with group names
Is this what you are after? part1 = repmat({'Name1'},1055,1); part2 = repmat({'Name2'},1641,1); part3 = repmat({'Name3'},2055...
11일 전 | 0
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Forming a CDF by adding different types of PDF and generating random number
It seems like there are several different questions here. If you want to generate random numbers from a custom CDF, one simple ...
Forming a CDF by adding different types of PDF and generating random number
It seems like there are several different questions here. If you want to generate random numbers from a custom CDF, one simple ...
13일 전 | 2
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Calculating pdf and cdf for data extracted as a table
This command pdfwindspeed = pdf('Normal',A) returns the pdf of the A values within the standard normal with mu=0 and sigma=1. ...
Calculating pdf and cdf for data extracted as a table
This command pdfwindspeed = pdf('Normal',A) returns the pdf of the A values within the standard normal with mu=0 and sigma=1. ...
13일 전 | 0
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How to use one data set to find the mean of another?
NON1 = NON == 1; % this makes a boolean vector that is true for the positions where NON==1 mean(PLCm(NON1)); % this computes ...
How to use one data set to find the mean of another?
NON1 = NON == 1; % this makes a boolean vector that is true for the positions where NON==1 mean(PLCm(NON1)); % this computes ...
16일 전 | 1
질문
Request for help computing convolution of random variables via fft
Inspired by the answers of @David Goodmanson to this earlier question, I have been trying to understand exactly how in general t...
22일 전 | 답변 수: 2 | 0
2
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run glmfit , why get Warning: X is ill conditioned, or the model is overparameterized
The problem is that the x1-x5 values sum to 24 in every row. This means that any one of the x's can be predicted from the rest ...
run glmfit , why get Warning: X is ill conditioned, or the model is overparameterized
The problem is that the x1-x5 values sum to 24 in every row. This means that any one of the x's can be predicted from the rest ...
28일 전 | 0
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CDF of VOn Mises distribution
The Von Mises distribution is included in Cupid. You could use it like this to calculate CDF values: >> location = 10; >> conc...
CDF of VOn Mises distribution
The Von Mises distribution is included in Cupid. You could use it like this to calculate CDF values: >> location = 10; >> conc...
29일 전 | 0
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How do I get four different answers guaranteed generated randomly from several arrays?
One way is to put the two random selections inside a while loop, check whether any meals are repeated, and then only exit the lo...
How do I get four different answers guaranteed generated randomly from several arrays?
One way is to put the two random selections inside a while loop, check whether any meals are repeated, and then only exit the lo...
30일 전 | 0
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How to load .mat data from another folder?
You need the folder name at the beginning of the string you pass to load, maybe something like this: for iFile = 1:numel(N1) ...
How to load .mat data from another folder?
You need the folder name at the beginning of the string you pass to load, maybe something like this: for iFile = 1:numel(N1) ...
약 1달 전 | 1
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Probplot for Generalized Extreme Value distribution
Cupid includes the Frechet distribution. It doesn't have probplot function, but you can easily produce something similar: % as...
Probplot for Generalized Extreme Value distribution
Cupid includes the Frechet distribution. It doesn't have probplot function, but you can easily produce something similar: % as...
약 1달 전 | 0
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How to NOT share variable with nested function?
It sounds like your "big code" is a script rather than a function, but now you want to make a function out of it. I suggest you...
How to NOT share variable with nested function?
It sounds like your "big code" is a script rather than a function, but now you want to make a function out of it. I suggest you...
약 1달 전 | 0
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How to plot confidence bounds for a theoretical cumulative distribution function?
For a given X value, the theoretical cumulative probability is p = F(X). Suppose you have a sample of N observations and you le...
How to plot confidence bounds for a theoretical cumulative distribution function?
For a given X value, the theoretical cumulative probability is p = F(X). Suppose you have a sample of N observations and you le...
약 1달 전 | 0
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How to loop through variable names and to save them on one file?
You can use strings for variable names like this: a = 'WD__Avr'; for.... [...] x = mean(data_measured.(a)(ind_time)); % no...
How to loop through variable names and to save them on one file?
You can use strings for variable names like this: a = 'WD__Avr'; for.... [...] x = mean(data_measured.(a)(ind_time)); % no...
약 1달 전 | 0
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I need a quantitative method of identification of which distribution best represents my data set
One approach is to: get the maximum likelihood parameter estimates for fitting each candidate distribution to your actual data....
I need a quantitative method of identification of which distribution best represents my data set
One approach is to: get the maximum likelihood parameter estimates for fitting each candidate distribution to your actual data....
약 1달 전 | 0
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How can I test for significance between expected and observed outcomes?
Another alternative: You might consider that you have three classes of items: those for which the predicted correlation was posi...
How can I test for significance between expected and observed outcomes?
Another alternative: You might consider that you have three classes of items: those for which the predicted correlation was posi...
약 2달 전 | 0
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Can one get fitted value without going to predict?
From your reference to 'predict', I'm guessing you have a vector of observed x values and you want to compute the predicted y fo...
Can one get fitted value without going to predict?
From your reference to 'predict', I'm guessing you have a vector of observed x values and you want to compute the predicted y fo...
약 2달 전 | 0
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Optimization of multiple variables without any toolbox
If I understand the question, your basic approach seems OK but your code isn't structured quite right. I think this is closer t...
Optimization of multiple variables without any toolbox
If I understand the question, your basic approach seems OK but your code isn't structured quite right. I think this is closer t...
약 2달 전 | 1
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correlation of nonlinear variables
It isn't really clear what you mean by "correlation coefficients for nonlinear variables", because an infinite number of nonline...
correlation of nonlinear variables
It isn't really clear what you mean by "correlation coefficients for nonlinear variables", because an infinite number of nonline...
약 2달 전 | 0
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Generating and storing lists of variable lengths?
There isn't really a good solution to this type of problem with "flat file" databases, but relational databases handle it very g...
Generating and storing lists of variable lengths?
There isn't really a good solution to this type of problem with "flat file" databases, but relational databases handle it very g...
약 2달 전 | 1
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How to linearize the nested parfor loop?
One approach is to set out all the desired pairs in advance. A crude way to do that is pairs = zeros(0,2); n = 3; for i = 1:...
How to linearize the nested parfor loop?
One approach is to set out all the desired pairs in advance. A crude way to do that is pairs = zeros(0,2); n = 3; for i = 1:...
2달 전 | 0
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Subsets of uncorrelated features
N = 5; R = rand(N); % We will ignore the lower triangular part of this array rCutoff = 0.4; % Make a cell array that holds...
Subsets of uncorrelated features
N = 5; R = rand(N); % We will ignore the lower triangular part of this array rCutoff = 0.4; % Make a cell array that holds...
2달 전 | 1
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chi2gof reports different observed values than reported
The O values printed by chi2gof are counts of the number of observations in each bin, defined by the bin edges. In this case ch...
chi2gof reports different observed values than reported
The O values printed by chi2gof are counts of the number of observations in each bin, defined by the bin edges. In this case ch...
2달 전 | 0
