log_scale_exercises.R

# log_scale_exercises.R
format(1*10^-4, scientific = FALSE) # starting point: 1*10^-4 = 1e-04 = 0.0001
format(1*10^-3, scientific = FALSE) # ending point: 1*10^-3 = 1e-03 = 0.001

x <- seq(0.0001:0.001, by = 0.0001, length.out = 10) # 10 datapoints ascending from 0.0001 to 0.001
format(x, scientific = FALSE) # 0.0001, 0.0002, 0.0003, [...], 0.0008, 0.0009, 0.001
format(x, scientific = TRUE) # the same, but in scientific notation: 1e-04, 2e-04, 3e-04, [...], 8e-04, 9e-04, 1e-03

plot(x, xlim = c(0, 10), ylim = c(0.0001, 0.001), pch = 20, log = "y") # plot log scale on y axis, (intervals are not equally spaced)
plot(x, xlim = c(0, 10), ylim = c(0.0001, 0.001), pch = 20) # plot linear scale, (equally spaced intervals)

format(median(x[1:9]), scientific = TRUE) # middle point between 0.0001 and 0.001 in scientific notation: 5e-04 = 5*10^-4
format(median(x[1:9]), scientific = FALSE) # middle point between 0.0001 and 0.001 without scientific notation: 5e-04 = 5*10^-4 = 0.0005
format(1*10^-3.5, scientific = FALSE) # this results in 0.0003162278 and it's not the middle point between 0.0001 and 0.001