我有一个函数,它接受一个数据框并使用 ggplot2 从该数据框中绘制一些列。ggplot2 中的 aes() 函数接受一个标签参数,我想使用 sprintf 来格式化该参数 - 这是我之前在其他代码中做过很多次的事情。当我将格式字符串传递给 sprintf(在本例中为“%1.1f”)时,它显示“找不到对象”。如果我使用 round() 函数并将参数传递给该函数,它可以毫无问题地找到它。格式()也是如此。显然只有 sprintf() 无法看到该对象。
起初我认为这是由于调用函数而不是使用内联代码导致的延迟评估问题,但是在传递给 sprintf 的格式字符串上使用 force() 并不能解决问题。我可以解决这个问题,但我想知道为什么会这样。当然,这可能是我忽略的一些微不足道的事情。
问:为什么 sprintf() 找不到字符串对象?
代码如下(编辑和修剪以获得更简单的示例)
require(gdata)
require(ggplot2)
require(scales)
require(gridExtra)
require(lubridate)
require(plyr)
require(reshape)
set.seed(12345)
# Create dummy time series data with year and month
monthsback <- 64
startdate <- as.Date(paste(year(now()),month(now()),"1",sep = "-")) - months(monthsback)
mydf <- data.frame(mydate = seq(as.Date(startdate), by = "month", length.out = monthsback), myvalue5 = runif(monthsback, min = 200, max = 300))
mydf$year <- as.numeric(format(as.Date(mydf$mydate), format="%Y"))
mydf$month <- as.numeric(format(as.Date(mydf$mydate), format="%m"))
getchart_highlight_value <- function(
plotdf,
digits_used = 1
)
{
force(digits_used)
#p <- ggplot(data = plotdf, aes(x = month(mydate, label = TRUE), y = year(mydate), fill = myvalue5, label = round(myvalue5, digits_used))) +
# note that the line below using sprintf() does not work, whereas the line above using round() is fine
p <- ggplot(data = plotdf, aes(x = month(mydate, label = TRUE), y = year(mydate), fill = myvalue5, label = sprintf(paste("%1.",digits_used,"f", sep = ""), myvalue5))) +
scale_x_date(labels = date_format("%Y"), breaks = date_breaks("years")) +
scale_y_reverse(breaks = 2007:2012, labels = 2007:2012, expand = c(0,0)) +
geom_tile() + geom_text(size = 4, colour = "black") +
scale_fill_gradient2(low = "blue", high = "red", limits = c(min(plotdf$myvalue5), max(plotdf$myvalue5)), midpoint = median(plotdf$myvalue5)) +
scale_x_discrete(expand = c(0,0)) +
opts(panel.grid.major = theme_blank()) +
opts(panel.background = theme_rect(fill = "transparent", colour = NA)) +
png(filename = "c:/sprintf_test.png", width = 700, height = 300, units = "px", res = NA)
print(p)
dev.off()
}
getchart_highlight_value (plotdf <- mydf,
digits_used <- 1)