# R/optimal.tickmarks.R In lozalojo/mem: The Moving Epidemic Method

#### Documented in optimal.tickmarks

```#' Find tickmarks for a given range of the y-axis that best fit an optimal number of tickmarks
#' you decide. f.i: what if i want to have a graph with 8 tickmarks in a range of 34 to 345
#'
#' @keywords internal
optimal.tickmarks <- function(i.min, i.max, i.number.ticks = 10,
i.valid.ticks = apply(expand.grid(c(1, 2, 2.5, 5), 10^(-10:10)), 1, FUN = function(x) {
x[1] * x[2]
}),
i.include.min = F, i.include.max = F) {
if (i.include.min) dif0 <- i.min else dif0 <- 0
e.min <- i.min - dif0
e.max <- i.max - dif0
ticks.min <- floor(e.min / i.valid.ticks)
ticks.max <- ceiling(e.max / i.valid.ticks)
ticks.maxmin <- ticks.max - ticks.min + 1
n.valid.ticks <- length(i.valid.ticks)
posicion.ticks <- (1:n.valid.ticks)[min(abs(ticks.maxmin - i.number.ticks)) == abs(ticks.maxmin - i.number.ticks)][1]
ini <- (ticks.min * i.valid.ticks)[posicion.ticks] + dif0
fin <- (ticks.max * i.valid.ticks)[posicion.ticks] + dif0
salto <- i.valid.ticks[posicion.ticks]
# Tickmarks
tickmarks <- seq(ini, fin, salto)
# Number of ticks
numero.ticks <- length(tickmarks)
if (i.include.max) {
fin <- i.max
tickmarks[numero.ticks] <- i.max
}
# Rank
range.y <- c(ini, fin)
# Returning
return(list(by = salto, number = numero.ticks, range = range.y, tickmarks = tickmarks))
}
```
lozalojo/mem documentation built on April 1, 2021, 1:37 a.m.