Hello,
I have tried searching on the internet about this issue, but I haven't found what I needed, so I'm here.
I am trying to create a plot that looks like this:
There are some important things that I need to say. The standard deviation will be different in each of the points. To be more specific, I will show you my data that I actually want to plot.
data = readmatrix("data.xlsx")
data =
-28.1968 -29.2280 -30.2794
-28.5418 -28.5263 -28.8859
-31.8108 -28.8128 -28.4971
-30.5379 -28.4347 -28.1727
-31.6614 -29.4493 -30.4832
-30.0855 -31.9214 -29.4594
-32.7221 -30.9628 -29.3129
-29.9808 -23.2623 -29.7403
-30.5717 -29.8256 -29.8165
-28.8883 -29.0316 -30.9919
Each column contains numbers. From these numbers, an average value will and standard deviation will be calculated. Three columns, so only three values on the X axis.
Basic plot without these standard deviations would look like so:
avg_data = [mean(data(:,1)), mean(data(~isnan(data(:,2)),2)), mean(data(~isnan(data(:,3)),3))]
avg_data =
-30.1883 -29.3129 -29.7215
std_data = [std(data(:,1)), std(data(~isnan(data(:,2)),2)), std(data(~isnan(data(:,3)),3))]
I have all the data, but I am not aware how to create pretty plot with shaded areas. Other Mathworks Answers were usually using only one std for all the X values, but I have different std value for every X value.
