Answered

Generation of Conditional Random Variables

It sounds like the only "free" aspect of your new samples is the new total (say, 241 instead of 240). Once you have that new to...

Generation of Conditional Random Variables

It sounds like the only "free" aspect of your new samples is the new total (say, 241 instead of 240). Once you have that new to...

2 meses ago | 1

Answered

Calculate Nakagami m parameter using the mle function

I think the minimum change you need is fast_fading=fast_fading(filtersize:end); fast_fading = fast_fading - min(fast_fading); ...

Calculate Nakagami m parameter using the mle function

I think the minimum change you need is fast_fading=fast_fading(filtersize:end); fast_fading = fast_fading - min(fast_fading); ...

2 meses ago | 0

Answered

Mixed anova design function (unbalanced design)

If the goal of the analysis is to see if the two groups differ significantly in sleep pre-expt, then actually the simplest appro...

Mixed anova design function (unbalanced design)

If the goal of the analysis is to see if the two groups differ significantly in sleep pre-expt, then actually the simplest appro...

2 meses ago | 0

Answered

model parameter estimation from RMSE between modeled outputs and observations

Something like this. If it is too slow, note that you can use 'optimset' to pass fminsearch options that make it finish faster ...

model parameter estimation from RMSE between modeled outputs and observations

Something like this. If it is too slow, note that you can use 'optimset' to pass fminsearch options that make it finish faster ...

2 meses ago | 0

Answered

model parameter estimation from RMSE between modeled outputs and observations

I assume the model is too complex for regression, etc. In that case, you might be able to do this with fminsearch, if there are...

model parameter estimation from RMSE between modeled outputs and observations

I assume the model is too complex for regression, etc. In that case, you might be able to do this with fminsearch, if there are...

2 meses ago | 0

Answered

Linear model fit error

Use the transpose operator on x1, x2, x3 and y so that these are column variables, like this for x1: x1 = [7 8 7 8 7 8 7 8 7 8 ...

Linear model fit error

Use the transpose operator on x1, x2, x3 and y so that these are column variables, like this for x1: x1 = [7 8 7 8 7 8 7 8 7 8 ...

3 meses ago | 0

Answered

Randi Error- Array exceeds max array size preference

This looks wrong: OOK=randi(1,sig_length); The first parameter (here, 1) is the maximum random integer (the minimum is 1). Si...

Randi Error- Array exceeds max array size preference

This looks wrong: OOK=randi(1,sig_length); The first parameter (here, 1) is the maximum random integer (the minimum is 1). Si...

3 meses ago | 0

| accepted

Answered

repeated measure anova two options

Not sure but I think you need T = table([1 2]','VariableNames',{'Time'}); T.Time = categorical(T.Time); % add this line Mayb...

repeated measure anova two options

Not sure but I think you need T = table([1 2]','VariableNames',{'Time'}); T.Time = categorical(T.Time); % add this line Mayb...

3 meses ago | 0

Answered

What kind of join will work to merge these two tables

Try T3 = join(T1,T2,'Keys','City')

What kind of join will work to merge these two tables

Try T3 = join(T1,T2,'Keys','City')

3 meses ago | 0

| accepted

Answered

derive new variable with random float values using for loop

Despite your comments, I guess you want 0-1 for the second option, not 0-2. I guess you want all numbers in the range to be equ...

derive new variable with random float values using for loop

Despite your comments, I guess you want 0-1 for the second option, not 0-2. I guess you want all numbers in the range to be equ...

3 meses ago | 0

| accepted

Answered

Plot best-fit Spearman rank correlation curve

Tricky question, because the whole point of the Spearman correlation is that the x/y relationship might be nonlinear. Maybe use...

Plot best-fit Spearman rank correlation curve

Tricky question, because the whole point of the Spearman correlation is that the x/y relationship might be nonlinear. Maybe use...

3 meses ago | 0

Answered

fitting a Gaussian curve convoluted with exponential decay

It sounds like you want what is often called the "ex-Gaussian" distribution. Its density function is on Wikipedia. Cupid will ...

fitting a Gaussian curve convoluted with exponential decay

It sounds like you want what is often called the "ex-Gaussian" distribution. Its density function is on Wikipedia. Cupid will ...

3 meses ago | 0

| accepted

Answered

get discrete pdf/pmf from a kernel distribution pdf on an interval

myFitTrunc = truncate(myFit1,4,12) % 4, 12 are example lower,upper truncation bounds Y = random(myFitTrunc,500,1) histogram(Y...

get discrete pdf/pmf from a kernel distribution pdf on an interval

myFitTrunc = truncate(myFit1,4,12) % 4, 12 are example lower,upper truncation bounds Y = random(myFitTrunc,500,1) histogram(Y...

3 meses ago | 0

| accepted

Answered

Optimising Monte Carlo simulation

Some suggestions--hopefully not a waste of your time: Use the profiler to find out where time is spent, so you can focus your s...

Optimising Monte Carlo simulation

Some suggestions--hopefully not a waste of your time: Use the profiler to find out where time is spent, so you can focus your s...

3 meses ago | 1

Answered

RMSE plot of Monte Carlo simulation

RMSE is not supposed to decrease with the number of iterations, but it should stabilize. Your plot oscillates because each poin...

RMSE plot of Monte Carlo simulation

RMSE is not supposed to decrease with the number of iterations, but it should stabilize. Your plot oscillates because each poin...

3 meses ago | 1

| accepted

Answered

Outliers in ANOVA and multcompare

Yes, outliers are included. (Scores are considered outliers only for the purposes of the boxplots.) The way you can tell is tha...

Outliers in ANOVA and multcompare

Yes, outliers are included. (Scores are considered outliers only for the purposes of the boxplots.) The way you can tell is tha...

3 meses ago | 0

Answered

Average of Column Values with Condition

if your data are in a table, maybe you can use grpstats something like this: tbl.IntDepth = trunc(tbl.depth); % assuming depth...

Average of Column Values with Condition

if your data are in a table, maybe you can use grpstats something like this: tbl.IntDepth = trunc(tbl.depth); % assuming depth...

3 meses ago | 0

Answered

2-way-anova with balance over subjects

Look here for an explanation of how to do a repeated measures ANOVA with the same 2x2 within-Ss structure.

2-way-anova with balance over subjects

Look here for an explanation of how to do a repeated measures ANOVA with the same 2x2 within-Ss structure.

3 meses ago | 0

| accepted

Answered

How to choose a sample of these input permutations?

Here's one possibility: Start by making a histogram of the "Difference in VAF" (DVAF) scores. Divide this histogram into k equ...

How to choose a sample of these input permutations?

Here's one possibility: Start by making a histogram of the "Difference in VAF" (DVAF) scores. Divide this histogram into k equ...

3 meses ago | 0

| accepted

Answered

Defining class methods in the "deeper levels" of a class

A toy example might be needed to make it clearer what you are after, but I guess you want a class A which has as two of its prop...

Defining class methods in the "deeper levels" of a class

A toy example might be needed to make it clearer what you are after, but I guess you want a class A which has as two of its prop...

3 meses ago | 0

Answered

Kahneman's Taxi problem

Generate a cab of one color or the other with the appropriate probabilities. Get the color ID response from the witness with th...

Kahneman's Taxi problem

Generate a cab of one color or the other with the appropriate probabilities. Get the color ID response from the witness with th...

3 meses ago | 0

| accepted

Answered

Generate a random matrix with 4 specifik values

maybe this? j = 2.5; % insert whatever value of j you want to use vals = [1,-1, j, -j]; pos = randi(numel(vals),15,10^5); r...

Generate a random matrix with 4 specifik values

maybe this? j = 2.5; % insert whatever value of j you want to use vals = [1,-1, j, -j]; pos = randi(numel(vals),15,10^5); r...

3 meses ago | 0

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...

3 meses ago | 0

| accepted

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...

4 meses 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...

4 meses 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

4 meses 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...

4 meses ago | 0

| accepted

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~...

4 meses 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...

4 meses 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...

4 meses ago | 0

| accepted