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How to change x-axis ticks labels in stackedplot?

  h = stackedplot(rand(6,3));   I want to set x-axis ticks according to my own defined set i.e., instead of 1:6, I want to replace x-axisticks [1, 2,3 ,4,5,6] to ['A', 'S','T', 'AAA', 'BBB', 'ZZZ'] , by rotating it to 90 degree that is vertically insted of horizontally?     NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. There does not seem to be an easy way to set the  XTick  or  XTickLabel  of a  StackedLineChart  object (such as what's created by  stackedplot ):   data = rand(6,3); h = stackedplot(1:6,data); % try a couple of things, neither of which work try set(h,'XTick',1:6,'XTic
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How to use isoutlier based in a part of the data?

 I have a vector of datas. Like this,

 
a =[0;0.0028;0.0002;0.0039;0.0061].
 
As you see, since the 4° element, the values start growing more until the end.
 
I was trying to determine a threshold to define the 4° and 5° elements as ouliers using 'isoutlier' function from Matlab. I did it. But I had to define a fixed 'ThresholdFactor'value using one of the methods the function has.
 
I would like the 4° and 5° values to being identified as outliers. Not based with all the vector datas, but because they are bigger than the 1°, 2° and 3° elements. I mean, I would like to find the outliers based on the backforward datas [0;0.0028;0.0002].
 
The vector I posted is an example. The size must be generic.
 
Can you help me?
 
P.S. (Actualized): As I said, depending of the data entries, my vectors gonna have different sizes. But in all cases, the phenomenum they represent, makes the vector values would be bigger at the end.
 
I can't find a way to define when the datas gonna be outliers since the vector will not always be the same. I need to generalize. So what I really need is to identify when the values start growing until reach the end. For instance, for my example, it would happen from the 4° position.

 NOTE:-


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hello
 
why not using islocalmin ? seems to me what you want is to keep the first 3 points (corresponding to a local min).
a =[0;0.0028;0.0002;0.0039;0.0061];
id = find(islocalmin(a(1:end)));
a_keep = a(1:id)
a_keep = 3×1
         0
    0.0028
    0.0002
plot(a)
hold on
plot(a_keep,'dr')

use isoutlier based in a part of the data


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