ggplot log scale y axis straight lines
I am having troubles with a simple ggplot that I need to incorporate a log scale y axis in. I understand that ggplot is right with curving lines once my axis has the log scale, but I need the lines to still connect my data points linearly. This is my code: forexample<-transform(example, EXP=factor(EXP, levels=unique(EXP))) plot<-ggplot(forexample, aes(x=EXP, y=concentration, shape=sample)) + stat_summary(aes(group = sample), fun.y = mean, geom = 'line', alpha=1, size=0.5) + stat_summary(aes(group = sample), fun.y = mean, geom = 'point', alpha=1, size=4) + theme_bw() + coord_trans(y = "log10") my data is structured like this: sample concentration EXP H 0.08 Ex1 H 0.07 Ex2 M 2.00 Ex1 M 0.50 Ex2 R 0.01 Ex1 ... I tried Zoltáns suggestion in the question "ggplot2 log scale of y axis causing curved lines" but it didnt work out for me. (ggplot2 log scale of y axis causing curved lines) I would be really really glad if somebody could help me with this! Thank you :)
This is the intended behavior of coord_trans, and is distinct from scale_y_log10. See also: http://stackoverflow.com/a/25257463/3330437 require(dplyr) # for data construction require(scales) # for modifying the y-axis data_frame(x = rep(letters, 3), y = rexp(26*3), sample = rep(c("H", "M", "R"), each = 26)) %>% ggplot(aes(x, y, shape = sample)) + theme_bw() + geom_point() + geom_path(aes(group = sample)) + scale_y_log10() If you want the y-axis labels and gridlines to look more like the coord_trans defaults, use scale_y_log10(breaks = scales::pretty_breaks()).
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