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I was playing around in R and noted that the largest value it can spit out is - 2^1023+2^1022.9999999999999 = 1.797693e+308
This was the same for both the 32 bit version running on a 32 bit machine and a 64 bit version running on a 64 bit machine. What is the reason for this being the maximum number (or some thing close to this) and why is it independent of the architecture of the machine?
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Possible values of the correlation coefficient range from -1 to +1, with -1 indicating a perfectly linear negative, i.e., inverse, correlation (sloping downward) and +1 indicating a perfectly linear positive correlation (sloping upward).
We can find the maximum value index in a dataframe using the which. max() function.
max() function in R Language is used to find the maximum element present in an object.
For example, if we have a matrix M that contains 2 rows and 2 columns with values 1, 2 in the first row and 3, 4 in the second row then the maximum for each of the columns in that matrix can be found by using the syntax; apply(M,2,max), hence the result will be 3, 4.
It's the maximum possible floating point Double number (see IEEE 754 standard):
http://en.wikipedia.org/wiki/Double-precision_floating-point_format
Floating point values - Single, Double - are computed on FPU and so don't depend on if the computer, OS etc is 32 or 64-bit one
consult ?.Machine and see .Machine$double.xmax
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It is not the largest possible value -- just the largest possible float. Check out the packages gmp and Rmpfr for ways to implement arbitrary size and precision numbers.
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