我正在测试此代码实现一个函数来返回带有xts数据集的日历图表:
xts_heatmap <- function(x){
data.frame(Date=as.Date(index(x)), x[,1]) %>%
setNames(c("Date","Value")) %>%
dplyr::mutate(
Year=lubridate::year(Date),
Month=lubridate::month(Date),
# I use factors here to get plot ordering in the right order
# without worrying about locale
MonthTag=factor(Month,levels=as.character(1:12),
labels=c("Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"),ordered=TRUE),
# week start on Monday in my world
Wday=lubridate::wday(Date,week_start=1),
# the rev reverse here is just for the plotting order
WdayTag=factor(Wday,levels=rev(1:7),labels=rev(c("Mon","Tue","Wed","Thu","Fri","Sat","Sun")),ordered=TRUE),
Week=as.numeric(format(Date,"%W"))
) %>%
# ok here we group by year and month and then calculate the week of the month
# we are currently in
dplyr::group_by(Year,Month) %>%
dplyr::mutate(Wmonth=1+Week-min(Week)) %>%
dplyr::ungroup() %>%
ggplot(aes(x=Wmonth, y=WdayTag, fill = Value)) +
geom_tile(colour = "white") +
facet_grid(Year~MonthTag) +
scale_fill_gradient(low="red", high="yellow") +
labs(x="Week of Month", y=NULL)
}
用法:
quantmod::getSymbols("^VIX",src="yahoo")
xts_heatmap(Cl(VIX)) + labs(title="Heatmap of VIX")
错误:
Error in mutate_impl(.data, dots) :
Evaluation error: unused argument (week_start = 1).
寻找可能的解决方案,发现.data和.env现在是dplyr动词(link)中的保留字,但我不知道如何解决这个问题。
答案 0 :(得分:0)
根据我的经验,这通常是由于基本函数未被dplyr
或lubridate
掩盖所致,因为您从未使用过library()
调用。
使用R版本3.5 如果您引入库,然后直接引用函数,则最新版本的tidyverse可以很好地运行该代码
library(tidyverse) # brings in ggplot2 and dplyr together
library(lubridate)
library(quantmod)
xts_heatmap <- function(x){
data.frame(Date=as.Date(index(x)), x[,1]) %>%
setNames(c("Date","Value")) %>%
mutate(
Year = year(Date),
Month = month(Date),
# I use factors here to get plot ordering in the right order
# without worrying about locale
MonthTag=factor(Month,levels=as.character(1:12),
labels=c("Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"),ordered=TRUE),
# week start on Monday in my world
Wday= wday(Date,week_start=1),
# the rev reverse here is just for the plotting order
WdayTag=factor(Wday,levels=rev(1:7),labels=rev(c("Mon","Tue","Wed","Thu","Fri","Sat","Sun")),ordered=TRUE),
Week=as.numeric(format(Date,"%W"))
) %>%
# ok here we group by year and month and then calculate the week of the month
# we are currently in
group_by(Year,Month) %>%
mutate(Wmonth=1+Week-min(Week)) %>%
ungroup() %>%
ggplot(aes(x=Wmonth, y=WdayTag, fill = Value)) +
geom_tile(colour = "white") +
facet_grid(Year~MonthTag) +
scale_fill_gradient(low="red", high="yellow") +
labs(x="Week of Month", y=NULL)
}
getSymbols("^VIX",src="yahoo")
xts_heatmap(Cl(VIX)) + labs(title="Heatmap of VIX")