Rescale continuous vector to have specified minimum and maximum

rescale(x, to, from, ...)

# S3 method for numeric
rescale(x, to = c(0, 1), from = range(x, na.rm = TRUE, finite = TRUE), ...)

# S3 method for dist
rescale(x, to = c(0, 1), from = range(x, na.rm = TRUE, finite = TRUE), ...)

# S3 method for logical
rescale(x, to = c(0, 1), from = range(x, na.rm = TRUE, finite = TRUE), ...)

# S3 method for POSIXt
rescale(x, to = c(0, 1), from = range(x, na.rm = TRUE, finite = TRUE), ...)

# S3 method for Date
rescale(x, to = c(0, 1), from = range(x, na.rm = TRUE, finite = TRUE), ...)

# S3 method for integer64
rescale(x, to = c(0, 1), from = range(x, na.rm = TRUE), ...)

Arguments

x

continuous vector of values to manipulate.

to

output range (numeric vector of length two)

from

input range (vector of length two). If not given, is calculated from the range of x

...

other arguments passed on to methods

Examples

rescale(1:100)
#> [1] 0.00000000 0.01010101 0.02020202 0.03030303 0.04040404 0.05050505 #> [7] 0.06060606 0.07070707 0.08080808 0.09090909 0.10101010 0.11111111 #> [13] 0.12121212 0.13131313 0.14141414 0.15151515 0.16161616 0.17171717 #> [19] 0.18181818 0.19191919 0.20202020 0.21212121 0.22222222 0.23232323 #> [25] 0.24242424 0.25252525 0.26262626 0.27272727 0.28282828 0.29292929 #> [31] 0.30303030 0.31313131 0.32323232 0.33333333 0.34343434 0.35353535 #> [37] 0.36363636 0.37373737 0.38383838 0.39393939 0.40404040 0.41414141 #> [43] 0.42424242 0.43434343 0.44444444 0.45454545 0.46464646 0.47474747 #> [49] 0.48484848 0.49494949 0.50505051 0.51515152 0.52525253 0.53535354 #> [55] 0.54545455 0.55555556 0.56565657 0.57575758 0.58585859 0.59595960 #> [61] 0.60606061 0.61616162 0.62626263 0.63636364 0.64646465 0.65656566 #> [67] 0.66666667 0.67676768 0.68686869 0.69696970 0.70707071 0.71717172 #> [73] 0.72727273 0.73737374 0.74747475 0.75757576 0.76767677 0.77777778 #> [79] 0.78787879 0.79797980 0.80808081 0.81818182 0.82828283 0.83838384 #> [85] 0.84848485 0.85858586 0.86868687 0.87878788 0.88888889 0.89898990 #> [91] 0.90909091 0.91919192 0.92929293 0.93939394 0.94949495 0.95959596 #> [97] 0.96969697 0.97979798 0.98989899 1.00000000
rescale(runif(50))
#> [1] 0.886765331 0.999432425 0.482302370 0.335107724 0.768637559 0.570149159 #> [7] 0.621742906 0.855931299 0.551825026 0.224657908 0.918610613 0.864982461 #> [13] 0.220011113 0.380878354 0.763131384 0.085502149 0.163891170 0.132491913 #> [19] 0.652208804 0.853751747 0.926681186 0.536694596 0.562426369 0.677474747 #> [25] 0.216029138 0.007468929 0.909283656 0.034634830 1.000000000 0.598683677 #> [31] 0.140819265 0.908852580 0.000000000 0.579611488 0.207961232 0.905575984 #> [37] 0.814455899 0.690379783 0.190266305 0.719731876 0.187227172 0.436482633 #> [43] 0.307834254 0.553345005 0.223833162 0.444595038 0.917419598 0.974936163 #> [49] 0.814674216 0.902059905
rescale(1)
#> [1] 0.5