Hi all,
I am not a mathematician and I am trying to fit a function which could fit my
observed data.
Which function should I use and how could I fit it to data in R?
Below are the data:
x <- c(0, 9, 17, 24, 28, 30)
y <- c(500, 480, 420, 300, 160, 5)
I use R for Mac OS, version 2.10-1 2009-08-24
Hi,
In R, I know the method table(), which builds a contingency table of the counts
y at each level for the factor x.
But I would like to know what is the inverse method of table(), if it exists,
to obtain the vector z, from the two vectors x and y?
x <- (86, 90, 94, 98, 102, 106, 110, 114,
Hi all,
I would like to fit a gamma pdf to my data using the method of RSS (Residual
Sum-of-Squares). Here are the data:
x <- c(86, 90, 94, 98, 102, 106, 110, 114, 118, 122, 126, 130, 134, 138,
142, 146, 150, 154, 158, 162, 166, 170, 174)
y <- c(2, 5, 10, 17, 26, 60, 94, 128, 137, 128, 77,
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