Rescale continuous vector to have specified minimum and maximum
Usage
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), ...)
# S3 method for difftime
rescale(x, to = c(0, 1), from = range(x, na.rm = TRUE, finite = TRUE), ...)
# S3 method for AsIs
rescale(x, to, from, ...)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] 0.361242503 0.165395017 0.321713835 0.000000000 0.180050361
#> [6] 0.522233921 0.744531185 1.000000000 0.934126235 0.600597193
#> [11] 0.438765902 0.621498303 0.891065755 0.570419333 0.581061789
#> [16] 0.706144677 0.375770046 0.638341388 0.469340336 0.379232239
#> [21] 0.947584697 0.992034528 0.671046712 0.975954364 0.849430913
#> [26] 0.667092363 0.087349582 0.757862366 0.654842677 0.334093247
#> [31] 0.625046775 0.444048517 0.665350062 0.768847688 0.745402139
#> [36] 0.650749104 0.435598669 0.696616741 0.955203220 0.634749434
#> [41] 0.731699171 0.035160083 0.522612016 0.002822172 0.370683838
#> [46] 0.374840025 0.427788708 0.710136911 0.996268767 0.762093657
rescale(1)
#> [1] 0.5