我有一个情节(下面粘贴的示例代码),我试图通过系列信息的自有标签添加。而不是绘制“p1s1”“p1s2”“p3s4”,我想“治疗1”“治疗2”“治疗3”。我使用了levels(series_id)来获取唯一的系列名称,并使用查找表来获取描述。 (我认为这会按照他们绘制的顺序得到它们吗?)并且我在一个名为treatment_descriptions的向量中有这些描述。
从文档中我认为我应该在这里使用比例,但我无法弄清楚哪一个或如何做到这一点。类似于:scale_something(name =“Treatment Descriptions”,breaks = NULL,labels = treatment_descriptions,formatter = NULL)?但是这应该去哪里?
library(ggplot2)
# Create a long data.frame to store data...
growth_series = data.frame ("read_day" = c(0, 3, 9, 0, 3, 9, 0, 2, 8),
"series_id" = c("p1s1", "p1s1", "p1s1", "p1s2", "p1s2", "p1s2", "p3s4", "p3s4", "p3s4"),
"mean_od" = c(0.6, 0.9, 1.3, 0.3, 0.6, 1.0, 0.2, 0.5, 1.2),
"sd_od" = c(0.1, 0.2, 0.2, 0.1, 0.1, 0.3, 0.04, 0.1, 0.3),
"n_in_stat" = c(8, 8, 8, 8, 7, 5, 8, 7, 2)
)
> # Now gives us some example long form data...
> > growth_series
> read_day series_id mean_od sd_od n_in_stat
> 1 p1s1 0.6 0.10 8 2
> 3 p1s1 0.9 0.20 8 3
> 9 p1s1 1.3 0.20 8 4
> 0 p1s2 0.3 0.10 8 5
> 3 p1s2 0.6 0.10 7 6
> 9 p1s2 1.0 0.30 5 7
> 0 p3s4 0.2 0.04 8 8
> 2 p3s4 0.5 0.10 7 9
> 8 p3s4 1.2 0.30 2 2
# Plot using ggplot...
ggplot(data = growth_series, aes(x = read_day, y = mean_od, group = series_id, color = series_id)) +
geom_line(size = 1.5) +
geom_point(aes(size = n_in_stat)) +
geom_errorbar(aes(ymin = mean_od - sd_od, ymax = mean_od + sd_od), size = 1, width = 0.3) +
xlab("Days") + ylab("Log (O.D. 730 nm)") +
scale_y_log2() +
scale_colour_hue('my legend', breaks = levels(growth_series$series_id), labels=c('t1', 't2', 't3'))
答案 0 :(得分:6)
也许你可以重新考虑你的因素?
growth_series$series_id <- factor(
growth_series$series_id,
labels=c('treatment 1', 't2', 't3'))
或者,如果您仍在寻找scale_something,那么它应该是scale_colour_hue()
... + scale_colour_hue('my legend',
breaks = levels(growth_series$series_id),
labels=c('t1', 't2', 't3'))