## I need some help with arrayfun

### Iuliana Bledea (view profile)

on 10 Jun 2019
Latest activity Answered by the cyclist

### the cyclist (view profile)

on 12 Jun 2019
I have this data from a mice experiment:
• Reaction Time
• Response Made (which can be 0,1 or 2)
• Visual contrast (one of 9 possible values)
I would like to use arrayfun to calculate the mean reaction time for each of the 9 values of visual contrast when the response made was 2.
Each set of data is written in a separate Matlab table.
Thank you.

Iuliana Bledea

### Iuliana Bledea (view profile)

on 10 Jun 2019
it is in MATLAB, but it is structured in a lot more complicated form and I think it won't be very helpful to update it like that
the cyclist

### the cyclist (view profile)

on 10 Jun 2019
Well, the main information I am trying to get at is the data types and how you are storing.
You make the statement "Each set of data is written in a separate Matlab table". That suggests to me that you have three variables of data type table. But your screen shot shows three columns of a single variable of data type double.
I'm just trying to sort this out, so that I don't suggest a solution that doesn't actually work for how your variables are stored.
Iuliana Bledea

### Iuliana Bledea (view profile)

on 10 Jun 2019
Sorry, yeah, they are normally stored as single double type.

### Steven Lord (view profile)

on 10 Jun 2019

I don't think arrayfun is the tool you want to use here. Instead groupsummary seems like a better fit.

Iuliana Bledea

### Iuliana Bledea (view profile)

on 10 Jun 2019
I used arrayfun to calculate the probability to obtain a specific response (0, 1 or 2) for each of the 9 contrast values. But now that I had to deal with the reaction time as well, it got too complicated. Do you have any idea how I could use groupsummary for this?
Iuliana Bledea

### Iuliana Bledea (view profile)

on 10 Jun 2019
Pressuming that the response made is always = 2 (also making it a bit easier this way), how can I get the mean reaction time for each of the 9 visual contrasts?
Steven Lord

### Steven Lord (view profile)

on 10 Jun 2019
Take a look at the "Multiple Grouping Variables" and "Multiple Grouping Vectors for Vector Input" examples on the documentation page to which I linked. You should be able to adapt these to your data.
Instead of computing the mean Weight for people grouped by Gender and whether or not they are Smokers, you could compute the mean ReactionTime for items grouped by Response and Contrast.

### the cyclist (view profile)

on 12 Jun 2019

I believe that groupsummary is for data stored in tables only. You can do what you want with
[sortedResponses,~,idx] = unique(R(:,2));
meanTimes = accumarray(idx,R(:,1),[],@mean);
Here, R is your original data, and meanTimes will have the mean values for the sortedResponses.
You could also just do
mean(R(R(:,2)==2),1)