Answered

Error when running a repeated measures ANOVA

I'm pretty sure fitrm expects all of the data from a single patient to be on one row of the input data table (e.g., words)--at l...

Error when running a repeated measures ANOVA

I'm pretty sure fitrm expects all of the data from a single patient to be on one row of the input data table (e.g., words)--at l...

ungefär 17 timmar ago | 0

Answered

Error when calling a jupyter notebook file from matlab

Just guessing here, but given that it is a file not found error, maybe you need to specify the path to the input file, something...

Error when calling a jupyter notebook file from matlab

Just guessing here, but given that it is a file not found error, maybe you need to specify the path to the input file, something...

12 dagar ago | 0

Answered

Several questions regarding distributions

I don't know that there are definitive answers to any of your questions, but here are some thoughts: > most of these distributi...

Several questions regarding distributions

I don't know that there are definitive answers to any of your questions, but here are some thoughts: > most of these distributi...

12 dagar ago | 1

Answered

Multiple functions inside one .m file

Try the method involving static classes, as explained here by per isakson

Multiple functions inside one .m file

Try the method involving static classes, as explained here by per isakson

21 dagar ago | 0

| accepted

Answered

Removing highest and lowest 5% of data as outliers using prctile

% Data values are in X; X2 holds remaining values after outliers removed Y = prctile(X,[5,95]); X2 = X(X>Y(1) & X<Y(2)); % ma...

Removing highest and lowest 5% of data as outliers using prctile

% Data values are in X; X2 holds remaining values after outliers removed Y = prctile(X,[5,95]); X2 = X(X>Y(1) & X<Y(2)); % ma...

22 dagar ago | 0

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Answered

Compare Fit of two linear models

A quick and dirty solution is to form a new variable S=IV1+IV2; and then compare the fit of the model 'DV~S' to the model 'DV~...

Compare Fit of two linear models

A quick and dirty solution is to form a new variable S=IV1+IV2; and then compare the fit of the model 'DV~S' to the model 'DV~...

22 dagar ago | 0

| accepted

Answered

Alternative for two way anova

One option is to ignore the problem and do ANOVA despite the non-normality. ANOVA is pretty robust with respect to normality vi...

Alternative for two way anova

One option is to ignore the problem and do ANOVA despite the non-normality. ANOVA is pretty robust with respect to normality vi...

26 dagar ago | 0

| accepted

Answered

How can I fit a flexible distribution to a set of percentiles?

A normal distribution fits very well: see attached for a figure and the matlab code to generate it. There is no obvious skew (5...

How can I fit a flexible distribution to a set of percentiles?

A normal distribution fits very well: see attached for a figure and the matlab code to generate it. There is no obvious skew (5...

27 dagar ago | 0

| accepted

Answered

Plotting a line representing Spearman's correlation on a scatterplot

I'm not sure a mismatch between slope and correlation is necessarily a problem. Note that the slope doesn't equal the correlati...

Plotting a line representing Spearman's correlation on a scatterplot

I'm not sure a mismatch between slope and correlation is necessarily a problem. Note that the slope doesn't equal the correlati...

ungefär en månad ago | 0

Answered

How to exclude data when fitting an exponential distribution

You can make use of the memory-less property of the exponential here--the mean remaining time is independent of how much time ha...

How to exclude data when fitting an exponential distribution

You can make use of the memory-less property of the exponential here--the mean remaining time is independent of how much time ha...

ungefär en månad ago | 1

| accepted

Answered

Can MATLAB Handle a Triple Nested Struct?

Haven't tried it, but it seems like this should work: for i = 1:length(Calendar) for j=1:12 Calendar(i).Month(j)....

Can MATLAB Handle a Triple Nested Struct?

Haven't tried it, but it seems like this should work: for i = 1:length(Calendar) for j=1:12 Calendar(i).Month(j)....

ungefär en månad ago | 1

Answered

setting up a nested data structure

Your information architecture diagram doesn't look quite right. For example, your [Females] should be a structure that holds hei...

setting up a nested data structure

Your information architecture diagram doesn't look quite right. For example, your [Females] should be a structure that holds hei...

ungefär en månad ago | 0

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Answered

Distribution Fitting Tool - finding of best fitting distribution type

It depends on exactly what you mean by "best fitting curve". In general, there is certainly no guarantee that the best-fitting ...

Distribution Fitting Tool - finding of best fitting distribution type

It depends on exactly what you mean by "best fitting curve". In general, there is certainly no guarantee that the best-fitting ...

ungefär en månad ago | 0

| accepted

Answered

Obtain a random number from a truncated normal distribution

You seem to be asking for something like this: pretruncMean = 0.9; pretruncSD = 1; untruncated = makedist('Normal',pretruncMe...

Obtain a random number from a truncated normal distribution

You seem to be asking for something like this: pretruncMean = 0.9; pretruncSD = 1; untruncated = makedist('Normal',pretruncMe...

ungefär en månad ago | 1

| accepted

Answered

Constrain regression coefficients to be equal

Make a new variable with IndependentSum = Independent1 + Independent2; and then fit the model with Dependent~IndependentSum

Constrain regression coefficients to be equal

Make a new variable with IndependentSum = Independent1 + Independent2; and then fit the model with Dependent~IndependentSum

ungefär en månad ago | 0

| accepted

Answered

How do I make a probability plot with data on the y axis and probability on the x axis?

Something like this: % some random data for an example nSample = 500; floodData = rand(nSample,1); % percentiles/probabili...

How do I make a probability plot with data on the y axis and probability on the x axis?

Something like this: % some random data for an example nSample = 500; floodData = rand(nSample,1); % percentiles/probabili...

ungefär en månad ago | 0

Answered

How to calculate random Correlation Pairs

Make a matrix A with one column for each voxel, and then use cormatrix = corrcoef(A) The output will be the correlations for a...

How to calculate random Correlation Pairs

Make a matrix A with one column for each voxel, and then use cormatrix = corrcoef(A) The output will be the correlations for a...

ungefär en månad ago | 0

Answered

How to calculate a transformed distribution in Matlab?

Depending on the transformations you have in mind, you may be able to do what you want with Cupid. It's transformation distribu...

How to calculate a transformed distribution in Matlab?

Depending on the transformations you have in mind, you may be able to do what you want with Cupid. It's transformation distribu...

ungefär en månad ago | 1

Answered

Chi square test: non parametric

It sounds like this is what you want: % Create some fake data to use as an example, % with 3 groups of different sizes; score...

Chi square test: non parametric

It sounds like this is what you want: % Create some fake data to use as an example, % with 3 groups of different sizes; score...

ungefär 2 månader ago | 1

| accepted

Answered

fitglme error says data is not full rank, but it is.

I'm guessing: (1) your ID column is a unique identifier rather than an actual numerical predictor value, and (2) you only have o...

fitglme error says data is not full rank, but it is.

I'm guessing: (1) your ID column is a unique identifier rather than an actual numerical predictor value, and (2) you only have o...

ungefär 2 månader ago | 0

Answered

How can i speed up my nested for loops ?

You can speed this up to some degree by rearranging the order of your for loops. For example, consider: d1 = floor((n1*x/c)...

How can i speed up my nested for loops ?

You can speed this up to some degree by rearranging the order of your for loops. For example, consider: d1 = floor((n1*x/c)...

ungefär 2 månader ago | 0

Answered

mvncdf - invert sum direction

(1) There is no way to get mvncdf to be larger at (6,7) than at (6,13). (2) It might be useful to you to reconceptualize X2 as ...

mvncdf - invert sum direction

(1) There is no way to get mvncdf to be larger at (6,7) than at (6,13). (2) It might be useful to you to reconceptualize X2 as ...

ungefär 2 månader ago | 0

| accepted

Answered

y-axis meaning using a ksdensity plot

The y-axis is scaled such that the total area under the density is 1. (area = probability with continuous distributions.) Since ...

y-axis meaning using a ksdensity plot

The y-axis is scaled such that the total area under the density is 1. (area = probability with continuous distributions.) Since ...

ungefär 2 månader ago | 0

| accepted

Answered

How to setup a Repeated Measurements. model and then perform a Manova

tbl = readtable("libro6.xlsx"); % Remove control group control = tbl.Exp_Group == 9; tbl(control,:) = []; % Define & fit...

How to setup a Repeated Measurements. model and then perform a Manova

tbl = readtable("libro6.xlsx"); % Remove control group control = tbl.Exp_Group == 9; tbl(control,:) = []; % Define & fit...

ungefär 2 månader ago | 1

| accepted

Answered

Generate random sequence number with condition

Here is another distributional option with a figure showing the comparison to Bruno's: %% Bruno's solution P=interp1([0 0.9 1]...

Generate random sequence number with condition

Here is another distributional option with a figure showing the comparison to Bruno's: %% Bruno's solution P=interp1([0 0.9 1]...

2 månader ago | 0

Answered

count of times if condition is met

put hits = 0; before the 'for' loop. You are resetting hits to 0 each time you check a new ptarget

count of times if condition is met

put hits = 0; before the 'for' loop. You are resetting hits to 0 each time you check a new ptarget

2 månader ago | 0

Answered

Using bootstrp with matrices to bootstrap cross-correlations using xcorr?

Bootstrapping involves taking random resamples of the existing data to create datasets of the same size, but it is not exactly w...

Using bootstrp with matrices to bootstrap cross-correlations using xcorr?

Bootstrapping involves taking random resamples of the existing data to create datasets of the same size, but it is not exactly w...

2 månader ago | 0

Answered

How to makedisk for a three parameter weibull distribution

MATLAB's Weibull distribution only allows 2 parameters, so you must handle the offset separately. Try this: t0 = 0.5; % b ...

How to makedisk for a three parameter weibull distribution

MATLAB's Weibull distribution only allows 2 parameters, so you must handle the offset separately. Try this: t0 = 0.5; % b ...

2 månader ago | 1

| accepted

Answered

How to use fitdist or gevfit and force the GEV distribution to a specific type (Type I)

I think you want the extreme value type I or Gumbel distribution, which MATLAB seems to call the "ExtremeValue" distribution. S...

How to use fitdist or gevfit and force the GEV distribution to a specific type (Type I)

I think you want the extreme value type I or Gumbel distribution, which MATLAB seems to call the "ExtremeValue" distribution. S...

2 månader ago | 0

| accepted

Answered

How should I organise data for unbalanced two factor anova analysis (anovan)

To start with, you have to make a table with 25 lines, one for each member of each group, and 4 variables for intensity plus one...

How should I organise data for unbalanced two factor anova analysis (anovan)

To start with, you have to make a table with 25 lines, one for each member of each group, and 4 variables for intensity plus one...

3 månader ago | 1

| accepted