小编New*_*uit的帖子

快速和缺点是我在使用相同因素的条件汇总计数和聚合函数时遇到问题.

假设我有这个数据帧:

library(dplyr)

df = tbl_df(data.frame(
    company=c("Acme", "Meca", "Emca", "Acme", "Meca", "Emca"), 
    year=c("2011", "2010", "2009", "2011", "2010", "2013"), 
    product=c("Wrench", "Hammer", "Sonic Screwdriver", "Fairy Dust", 
              "Kindness", "Helping Hand"), 
    price=c("5.67", "7.12", "12.99", "10.99", NA, FALSE)))

这创建了这个数据帧(本质上):

   company year  product             price
1    Acme  2011  Wrench              5.67
2    Meca  2010  Hammer              7.12
3    Emca  2009  Sonic Screwdriver   12.99
4    Acme  2011  Fairy Dust          10.99
5    Meca  2010  Kindness            NA
...  ...   ...   ...                 ...
n    Emca  2013  Helping Hand        FALSE

假设我想df <- group_by(df, …

我有一些问题让我的ggplot alpha对我的情节来说足够黑暗.

示例代码:

ggplot(mtcars, aes(x=mpg, color=factor(gear), alpha=factor(carb))) + stat_ecdf()

如您所见,无论何时carb == 1,都很难看到情节元素.在我的真实世界数据集中,颜色因子有四个级别,而alpha因子有两个级别.我希望alpha的颜色略浅一些,但比那个例子中的颜色更明显.