如何将调色板颜色添加到 R 中的散点图中
How to add a palette color into a scatterplot graph in R
我想使用调色板(蓝色)中的颜色将颜色添加到散点图中。
数据示例
tw = c(15000, 3000, 2500, 2000, 1500, 1500, 500)
re.tw = c(8000, 6000, 5500, 3300, 700, 1000, 1500)
Country = c('Argentina', 'Brasil', 'Mexico', 'Chile', 'Venezuela', 'Espana', 'EEUU')
b = data.frame(tw,re.tw,Country)
b$Ratio = as.integer((b$tw / b$re.tw)*1000)
散点图
ggplot(b, aes(x=tw, y=re.tw)) +
geom_point(aes(col=Country, size=Ratio)) +
theme_minimal() +
xlim(c(0, 15000)) +
ylim(c(0, 8000)) +
labs(subtitle="by country, final values for #Hashtag",
y="Tweets",
x="Retweets",
title="Twetts Vs Retweets")
使用此代码的结果
- 预期结果
同一张图,使用蓝色调色板
我对您的代码做了一些小改动。
require(tidyverse)
# 1. Some values
#Single command is usually better/simple than few commands.
df = data.frame(tw = c(15000, 3000, 2500, 2000, 1500, 1500, 500),
re.tw = c(8000, 6000, 5500, 3300, 700, 1000, 1500),
Country = c('Argentina', 'Brasil', 'Mexico', 'Chile',
'Venezuela', 'Espana', 'EEUU')) %>%
mutate(Ratio = (tw/re.tw)*100)
# 2. Scatterplot
df %>%
#I find it easier to put all (or most) of the aes in one place
ggplot(aes(x = tw, y = re.tw, col = Country, size = Ratio)) +
geom_point() +
#Setting the colors to palette Blues.
scale_color_brewer(palette = "Blues") +
theme_minimal() +
xlim(c(0, 15000)) +
ylim(c(0, 8000)) +
labs(subtitle="by country, final values for #Dante2018",
y="Tweets",
x="Retweets",
title="Twetts Vs Retweets",
caption = "Source: Tweets from January to April with #Dante2018")
有关 scale_color_brewer
的更多信息,您可以找到 here。
答案 here 可能会帮助您为最大值设置一种特定颜色
我想使用调色板(蓝色)中的颜色将颜色添加到散点图中。
数据示例
tw = c(15000, 3000, 2500, 2000, 1500, 1500, 500) re.tw = c(8000, 6000, 5500, 3300, 700, 1000, 1500) Country = c('Argentina', 'Brasil', 'Mexico', 'Chile', 'Venezuela', 'Espana', 'EEUU') b = data.frame(tw,re.tw,Country) b$Ratio = as.integer((b$tw / b$re.tw)*1000)
散点图
ggplot(b, aes(x=tw, y=re.tw)) + geom_point(aes(col=Country, size=Ratio)) + theme_minimal() + xlim(c(0, 15000)) + ylim(c(0, 8000)) + labs(subtitle="by country, final values for #Hashtag", y="Tweets", x="Retweets", title="Twetts Vs Retweets")
使用此代码的结果
- 预期结果 同一张图,使用蓝色调色板
我对您的代码做了一些小改动。
require(tidyverse)
# 1. Some values
#Single command is usually better/simple than few commands.
df = data.frame(tw = c(15000, 3000, 2500, 2000, 1500, 1500, 500),
re.tw = c(8000, 6000, 5500, 3300, 700, 1000, 1500),
Country = c('Argentina', 'Brasil', 'Mexico', 'Chile',
'Venezuela', 'Espana', 'EEUU')) %>%
mutate(Ratio = (tw/re.tw)*100)
# 2. Scatterplot
df %>%
#I find it easier to put all (or most) of the aes in one place
ggplot(aes(x = tw, y = re.tw, col = Country, size = Ratio)) +
geom_point() +
#Setting the colors to palette Blues.
scale_color_brewer(palette = "Blues") +
theme_minimal() +
xlim(c(0, 15000)) +
ylim(c(0, 8000)) +
labs(subtitle="by country, final values for #Dante2018",
y="Tweets",
x="Retweets",
title="Twetts Vs Retweets",
caption = "Source: Tweets from January to April with #Dante2018")
有关 scale_color_brewer
的更多信息,您可以找到 here。
答案 here 可能会帮助您为最大值设置一种特定颜色