fcdf
"upper")F cumulative distribution function (CDF).
For each element of x, compute the cumulative distribution function (CDF) of the F distribution with df1 and df2 degrees of freedom. The size of p is the common size of x, df1, and df2. A scalar input functions as a constant matrix of the same size as the other inputs.
p = fcdf (x, df1, df2, "upper") computes the
upper tail probability of the F distribution with df1 and df2
degrees of freedom, at the values in x.
Further information about the F distribution can be found at https://en.wikipedia.org/wiki/F-distribution
See also: finv, fpdf, frnd, fstat
Source Code: fcdf
## Plot various CDFs from the F distribution
x = 0.01:0.01:4;
p1 = fcdf (x, 1, 2);
p2 = fcdf (x, 2, 1);
p3 = fcdf (x, 5, 2);
p4 = fcdf (x, 10, 1);
p5 = fcdf (x, 100, 100);
plot (x, p1, "-b", x, p2, "-g", x, p3, "-r", x, p4, "-c", x, p5, "-m")
grid on
legend ({"df1 = 1, df2 = 2", "df1 = 2, df2 = 1", ...
"df1 = 5, df2 = 2", "df1 = 10, df2 = 1", ...
"df1 = 100, df2 = 100"}, "location", "southeast")
title ("F CDF")
xlabel ("values in x")
ylabel ("probability")
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