I have recently read in a dataset with p<10e343 that has been set to zero. So here is what the R documentation says<\/p>\n
\r\n.Machine\r\n# the smallest non-zero normalized floating-point number, a power of the radix, i.e., double.base ^ double.min.exp.\r\n$double.xmin\r\n2.225074e-308\r\n# the largest normalized floating-point number. Typically, it is equal to (1 - double.neg.eps) * double.base \r\n# ^ double.max.exp, but on some machines it is only the second or third largest such number, being too small \r\n# by 1 or 2 units in the last digit of the significand\r\n$double.xmax\r\n1.797693e+308\r\n<\/pre>\n\n<\/p>\n
\n CC-BY-NC Science Surf , accessed 09.04.2026<\/span>\n <\/div>","protected":false},"excerpt":{"rendered":"I have recently read in a dataset with p<10e343 that has been set to zero. So here is what the R documentation says .Machine # the smallest non-zero normalized floating-point number, a power of the radix, i.e., double.base ^ double.min.exp. $double.xmin 2.225074e-308 # the largest normalized floating-point number. Typically, it is equal to (1 – … Continue reading 2.225074e-308<\/span>