# plot_loglog: Log-log scatterplot In phytomosaic/ecole: ecole: School of Ecology Package

## Description

Scatterplot with logarithmic axes and gridlines.

## Usage

 ```1 2``` ```plot_loglog(x, y, xlim = c(1, 1000), ylim = c(1, 1000), xlog = TRUE, ylog = TRUE, xbase = 10, ybase = 10, grdcol = "#00000020", ...) ```

## Arguments

 `x, y` vectors of x- and y-axis values `xlim, ylim` numeric vectors of length 2, giving x,y ranges on linear scale `xlog, ylog` logical, should x,y axes be log-transformed? In case the linear scale is chosen, no gridlines are drawn. `xbase, ybase` numeric, base of the logarithm of the respective axes. Ignored if linear axis is specified. `grdcol` single value, color to be used for logarithmic gridlines `...` further arguments passed to other methods

## Details

Emulates classic log-log graph paper. X and Y axes controlled independently. Points may be added post-hoc.

A plot object

## Author(s)

Petr Kiel

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19``` ```# compare linear vs logarithmic axes par(mfrow=c(1,2)) x <- seq(1, 1000, by=10) plot(x, x, ylim=c(0,4000), las=1, bty='l') points(x, x^0.8, col='blue') points(x, x^1.2, col='red') plot_loglog(x=log10(x), y=log10(x), xlab='X axis', ylab='Y axis', ylim=c(1, 10000), pch=16, col='#00000030') points(log10(x), 0.8*log10(x), pch=16, col='#0000FF30') points(log10(x), 1.2*log10(x), pch=16, col='#FF000030') # one axis log, one axis linear x <- 1:1000 y <- dlnorm(x, meanlog=4) yl <- c(0,0.012) plot(x, y, ylim=yl, ylab='Pr density', bty='l', las=1) plot_loglog(log10(x), y, ylog=FALSE, ylim=yl, xlim=c(0.1,1000), ylab='Pr den', pch=16, col='#00000030') par(mfrow=c(1,1)) ```