我正在使用直接标签来注释我的情节。正如你在这张图片中看到的,标签在 geom_line 之后,但我想要在 geom_smooth 之后。这是否受直接标签支持?或任何其他想法如何实现这一目标?提前致谢!
这是我的代码:
library(ggplot2)
library(directlabels)
set.seed(124234345)
# Generate data
df.2 <- data.frame("n_gram" = c("word1"),
"year" = rep(100:199),
"match_count" = runif(100 ,min = 1000 , max = 2000))
df.2 <- rbind(df.2, data.frame("n_gram" = c("word2"),
"year" = rep(100:199),
"match_count" = runif(100 ,min = 1000 , max = 2000)) )
# plot
ggplot(df.2, aes(year, match_count, group=n_gram, color=n_gram)) +
geom_line(alpha = I(7/10), color="grey", show_guide=F) +
stat_smooth(size=2, span=0.3, se=F, show_guide=F) +
geom_dl(aes(label=n_gram), method = "last.bumpup", show_guide=F) +
xlim(c(100,220))
最佳答案
这个答案采用了@celt-Ail 答案的基本概念,而不是函数、基础 R 和直接标签,而是尝试一种 tidyverse 方法,从 here 窃取一些代码为多个 loess
楷模。
很高兴听到建议的改进。
set.seed(124234345)
# Generate data
df.2 <- data.frame("n_gram" = c("word1"),
"year" = rep(100:199),
"match_count" = runif(100 ,min = 1000 , max = 2000))
df.2 <- rbind(df.2, data.frame("n_gram" = c("word2"),
"year" = rep(100:199),
"match_count" = runif(100 ,min = 1000 , max = 2000)) )
#example of loess for multiple models
#https://stackoverflow.com/a/55127487/4927395
library(dplyr)
library(tidyr)
library(purrr)
library(ggplot2)
models <- df.2 %>%
tidyr::nest(-n_gram) %>%
dplyr::mutate(
# Perform loess calculation on each CpG group
m = purrr::map(data, loess,
formula = match_count ~ year, span = .3),
# Retrieve the fitted values from each model
fitted = purrr::map(m, `[[`, "fitted")
)
# Apply fitted y's as a new column
results <- models %>%
dplyr::select(-m) %>%
tidyr::unnest()
#find final x values for each group
my_last_points <- results %>% group_by(n_gram) %>% summarise(year = max(year, na.rm=TRUE))
#Join dataframe of predictions to group labels
my_last_points$pred_y <- left_join(my_last_points, results)
# Plot with loess line for each group
ggplot(results, aes(x = year, y = match_count, group = n_gram, colour = n_gram)) +
geom_line(alpha = I(7/10), color="grey", show.legend=F) +
#stat_smooth(size=2, span=0.3, se=F, show_guide=F)
geom_point() +
geom_line(aes(y = fitted))+
geom_text(data = my_last_points, aes(x=year+5, y=pred_y$fitted, label = n_gram))
关于r - 如何在 geom_smooth 之后而不是在 geom_line 之后显示直接标签?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/10065196/