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How to robustly set class object properties in the class constructor when using name-value approach without handling them one-by-one?

One option might be something like this: % How to make... fnames = fieldnames(namedArgs); for ifield=1:length(fnames) s ...

How to robustly set class object properties in the class constructor when using name-value approach without handling them one-by-one?

One option might be something like this: % How to make... fnames = fieldnames(namedArgs); for ifield=1:length(fnames) s ...

5 mois il y a | 1

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How can i use a "list of variablennames" to calculate something?

One convenient option if you really want to do something like this is to use a structure to hold all of the variables that you w...

How can i use a "list of variablennames" to calculate something?

One convenient option if you really want to do something like this is to use a structure to hold all of the variables that you w...

5 mois il y a | 1

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how to delete outliers data for 15 person Separately?

I think I see the issue now. Maybe this is better: DATA1=[]; SUBJECT = []; for i = 1:15 data1 = load(strcat(strcat('park...

how to delete outliers data for 15 person Separately?

I think I see the issue now. Maybe this is better: DATA1=[]; SUBJECT = []; for i = 1:15 data1 = load(strcat(strcat('park...

5 mois il y a | 0

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How do I Plot a Regression Line (not simple regression) on gscatter?

Something like this should work, after your gscatter: lowX = 0; % set low & hi X to span the x-axis range that you want the l...

How do I Plot a Regression Line (not simple regression) on gscatter?

Something like this should work, after your gscatter: lowX = 0; % set low & hi X to span the x-axis range that you want the l...

5 mois il y a | 0

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What is the orthodox precedure of evaluating/determining the type of a distribution? And How to fit it into a normal distribution with skewness and kurtosis?

Unfortunately, trial-and-error with fitting different distributions is the only way to find out what distribution provides the b...

What is the orthodox precedure of evaluating/determining the type of a distribution? And How to fit it into a normal distribution with skewness and kurtosis?

Unfortunately, trial-and-error with fitting different distributions is the only way to find out what distribution provides the b...

6 mois il y a | 0

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How to replace the missing value using the correlation between x and y?

Omar, if I understand what you are trying to do, I would suggest: Form a reduced dataset where you drop all rows with NANs. Th...

How to replace the missing value using the correlation between x and y?

Omar, if I understand what you are trying to do, I would suggest: Form a reduced dataset where you drop all rows with NANs. Th...

6 mois il y a | 0

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How to find the row wise p values corresponding to each coefficient of linear regression?

For Type I (i.e., sequential), you have to fit a series of three models, and you need to compute the improvement of each model o...

How to find the row wise p values corresponding to each coefficient of linear regression?

For Type I (i.e., sequential), you have to fit a series of three models, and you need to compute the improvement of each model o...

6 mois il y a | 0

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Generate all possible group scores based on combinations of individuals

Morgan, my point was that "all possible ways" is just too many in this case. By my calculations, if your computer could process...

Generate all possible group scores based on combinations of individuals

Morgan, my point was that "all possible ways" is just too many in this case. By my calculations, if your computer could process...

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Parameter estimation of a mixture of a Normal and a Uniform distribution

Not sure how to modify your code, but you can do the estimation with Cupid like this: % Parameters stipulated to be known: Kno...

Parameter estimation of a mixture of a Normal and a Uniform distribution

Not sure how to modify your code, but you can do the estimation with Cupid like this: % Parameters stipulated to be known: Kno...

6 mois il y a | 1

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how do I input a one-way anova function?

scores = []; % list the 37 scores inside the brackets, all of group 1 first, then group 2, etc group = {'a' 'a' 'a' } % list ...

how do I input a one-way anova function?

scores = []; % list the 37 scores inside the brackets, all of group 1 first, then group 2, etc group = {'a' 'a' 'a' } % list ...

6 mois il y a | 0

Question

Within a script, can I close or redirect a Windows File Explorer window opened with 'winopen'?

I have a script that processes iteratively through a number of directories, spending a few hours per directory. It would be very...

7 mois il y a | 2 réponses | 0

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Problem when using fitrm() function for ANOVA and getting an incomplete output

I can't check it at the moment, but I think maybe your last line should be ranovatbl = ranova(rm,'WithinModel','Phases')

Problem when using fitrm() function for ANOVA and getting an incomplete output

I can't check it at the moment, but I think maybe your last line should be ranovatbl = ranova(rm,'WithinModel','Phases')

7 mois il y a | 0

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Comparing Means from Probability Distributions using aoctool and multcompare

Maybe I am missing something but from your description it sounds like you could compare the mean log(x) values of the different ...

Comparing Means from Probability Distributions using aoctool and multcompare

Maybe I am missing something but from your description it sounds like you could compare the mean log(x) values of the different ...

8 mois il y a | 0

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How to find Sigma Matrix for Bivariate Distribution Given Data

You can't really use normfit to estimate sigma in the manner you are doing it, especially because x1 & x2 have such different nu...

How to find Sigma Matrix for Bivariate Distribution Given Data

You can't really use normfit to estimate sigma in the manner you are doing it, especially because x1 & x2 have such different nu...

8 mois il y a | 0

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fprintf's at beginning and end of a function called witihin parfor loop

Thanks Walter, that works perfectly. For anyone else interested, here's the revised version of the original code that works as ...

fprintf's at beginning and end of a function called witihin parfor loop

Thanks Walter, that works perfectly. For anyone else interested, here's the revised version of the original code that works as ...

8 mois il y a | 1

Question

fprintf's at beginning and end of a function called witihin parfor loop

I am trying to write logging-type information to the command window from inside a function that is called within a parfor loop. ...

8 mois il y a | 2 réponses | 0

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How do I loop a command for different variable names?

Another alternative is to make a function that does all of the necessary operations on each vector, and then call that function ...

How do I loop a command for different variable names?

Another alternative is to make a function that does all of the necessary operations on each vector, and then call that function ...

8 mois il y a | 0

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How to add random Noise between 2% in the dataset

Do you mean that you want to multiply each value in the dataset by a random number between 1.005 and 1.02, with all random numbe...

How to add random Noise between 2% in the dataset

Do you mean that you want to multiply each value in the dataset by a random number between 1.005 and 1.02, with all random numbe...

9 mois il y a | 0

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Control for Confounding Variables in a Linear Regression Model

Suppose you have a variable X that you would like to predict from a set of predictors P and you want to control for some other v...

Control for Confounding Variables in a Linear Regression Model

Suppose you have a variable X that you would like to predict from a set of predictors P and you want to control for some other v...

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how does fitglm treat categorical variables?

I don't that is correct. WIth numerical values in the table, I think you have to mark the variables as categorical with somethi...

how does fitglm treat categorical variables?

I don't that is correct. WIth numerical values in the table, I think you have to mark the variables as categorical with somethi...

9 mois il y a | 0

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how to plot shorter dataset using 'hold on'

Is this what you need? desired_range = 1:200; % here, select the array positions you want to plot plot(T5half(desired_range),...

how to plot shorter dataset using 'hold on'

Is this what you need? desired_range = 1:200; % here, select the array positions you want to plot plot(T5half(desired_range),...

9 mois il y a | 0

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How to generate a vector of numbers picked from two groups with the condition that there cannot be more than 2 consecutive numbers from the same group?

If I understand what you are asking, this should be close to what you want: vecLength = 20; % how many numbers you want to gen...

How to generate a vector of numbers picked from two groups with the condition that there cannot be more than 2 consecutive numbers from the same group?

If I understand what you are asking, this should be close to what you want: vecLength = 20; % how many numbers you want to gen...

9 mois il y a | 0

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How to fit multiple distribution on a histogram without normalizing the histogram?

Probably simplest just to plot everything and then use ylim to reset the Y axis limits at the end to whatever you want, somethin...

How to fit multiple distribution on a histogram without normalizing the histogram?

Probably simplest just to plot everything and then use ylim to reset the Y axis limits at the end to whatever you want, somethin...

10 mois il y a | 0

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Question

How can I make more efficient use of parallel workers?

My code performs 30 iterations of a task via parfor, with 6 workers in the parallel pool. Each iteration writes files when it s...

10 mois il y a | 1 réponse | 0

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Given a null distribution, how can I calculate a p-value for my test statistic?

The one-tailed p value is just the tail probability of your original unshuffled difference relative to the null distribution tha...

Given a null distribution, how can I calculate a p-value for my test statistic?

The one-tailed p value is just the tail probability of your original unshuffled difference relative to the null distribution tha...

10 mois il y a | 0

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How to turn a function handle with 3 inputs (1 variable and 2 parameters) and then assign the inputs parameters and get a function handle with one input? ?

Not sure I understand the situation, but this sounds to me like a case where an OO approach could be very helpful. Consider: cl...

How to turn a function handle with 3 inputs (1 variable and 2 parameters) and then assign the inputs parameters and get a function handle with one input? ?

Not sure I understand the situation, but this sounds to me like a case where an OO approach could be very helpful. Consider: cl...

11 mois il y a | 0

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Repeated measures ANOVA Matlab (Statistic)

% Note the transpose operator: single-column vectors are more convenient. A = [10 11 13 16 15 18 17 16 11 12]'; B = [20 22 21 ...

Repeated measures ANOVA Matlab (Statistic)

% Note the transpose operator: single-column vectors are more convenient. A = [10 11 13 16 15 18 17 16 11 12]'; B = [20 22 21 ...

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How to fit an uniform distribution to a histogram?

histogram(data, numBars); avgHeight = numel(data)/numBars; hold on; plot([min(data), max(data)],[avgHeight, avgHeight])

How to fit an uniform distribution to a histogram?

histogram(data, numBars); avgHeight = numel(data)/numBars; hold on; plot([min(data), max(data)],[avgHeight, avgHeight])

11 mois il y a | 1

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Spearman correlation fails in ranking strings

The first two inputs to the corr command have to be the numerical values that are to be correlated, so you will want something l...

Spearman correlation fails in ranking strings

The first two inputs to the corr command have to be the numerical values that are to be correlated, so you will want something l...

11 mois il y a | 1

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I want to compute mean median and mode for the distribution from its c.d.f.

The median is the value at p=0.50, which you already seem to have in your table. You can't really compute the mean and mode fr...

I want to compute mean median and mode for the distribution from its c.d.f.

The median is the value at p=0.50, which you already seem to have in your table. You can't really compute the mean and mode fr...

11 mois il y a | 0