我有一个反应性数据框,如下所示:
Apr 2017 May 2017 Jun 2017 Jul 2017 Aug 2017 Sep 2017
zz 0.1937571 0.1840005 0.1807256 0.1959589 0.2039463 0.2016886
aa 0.3518203 0.3634578 0.3670747 0.3676495 0.3680581 0.3657724
bb 0.10651308 0.11548379 0.11572389 0.11272168 0.11361587 0.11503638
cc 0.2481513 0.2579199 0.2623222 0.2673914 0.2579430 0.2550686
dd 0.06641069 0.06741159 0.07305105 0.07373854 0.07043972 0.07304338
我正在尝试根据值(类似于eg3)对整个表进行样式设置。 下面是我的代码:
brks <- reactive({
quantile(intrc_pattern_re(), probs = seq(0, 1, 0.25), na.rm = TRUE)
})
clrs <- reactive({
round(seq(255, 40, length.out = length(brks()) + 1), 0) %>%
paste0("rgb(255,", ., ",", ., ")")
})
intrc_pattern_reshape <- reactive ({
datatable(intrc_pattern_re(),
options = list(searching = FALSE,
pageLength = 15,
lengthChange = FALSE)
) %>%
formatPercentage(colnames(intrc_pattern_re()), 2) %>%
formatStyle(names(intrc_pattern_re()),
backgroundColor = styleInterval(brks(), clrs()))
})
但是当我这样做时,出现以下错误:non-numeric argument to binary operator
有人可以告诉我我做错了什么吗?谢谢。 dput(df,“”)
的输出structure(list(`Apr 2017` = structure(c(`zz` = 3L,
aa = 6L, `bb` = 2L, `cc` = 4L,
dd = 1L, Premium = 7L, `ff` = 5L), .Label = c("0.06641069",
"0.10651308", "0.1937571", "0.2481513", "0.3090870", "0.3518203",
"0.4697810", "Apr 2017"), class = "factor"), `May 2017` = structure(c(`zz` = 3L,
aa = 6L, `bb` = 2L, `cc` = 4L,
dd = 1L, Premium = 7L, `ff` = 5L), .Label = c("0.06741159",
"0.11548379", "0.1840005", "0.2579199", "0.3043959", "0.3634578",
"0.4719425", "May 2017"), class = "factor"), `Jun 2017` = structure(c(`zz` = 3L,
aa = 6L, `bb` = 2L, `cc` = 4L,
dd = 1L, Premium = 7L, `ff` = 5L), .Label = c("0.07305105",
"0.11572389", "0.1807256", "0.2623222", "0.3030102", "0.3670747",
"0.4766237", "Jun 2017"), class = "factor"), `Jul 2017` = structure(c(`zz` = 3L,
aa = 6L, `bb` = 2L, `cc` = 4L,
dd = 1L, Premium = 7L, `ff` = 5L), .Label = c("0.07373854",
"0.11272168", "0.1959589", "0.2673914", "0.2984132", "0.3676495",
"0.4759238", "Jul 2017"), class = "factor"), `Aug 2017` = structure(c(`zz` = 3L,
aa = 6L, `bb` = 2L, `cc` = 4L,
dd = 1L, Premium = 7L, `ff` = 5L), .Label = c("0.07043972",
"0.11361587", "0.2039463", "0.2579430", "0.2970350", "0.3680581",
"0.4828409", "Aug 2017"), class = "factor"), `Sep 2017` = structure(c(`zz` = 3L,
aa = 6L, `bb` = 2L, `cc` = 4L,
dd = 1L, Premium = 7L, `ff` = 5L), .Label = c("0.07304338",
"0.11503638", "0.2016886", "0.2550686", "0.2998945", "0.3657724",
"0.4909182", "Sep 2017"), class = "factor"), `Oct 2017` = structure(c(`zz` = 3L,
aa = 6L, `bb` = 2L, `cc` = 4L,
dd = 1L, Premium = 7L, `ff` = 5L), .Label = c("0.07651393",
"0.11219458", "0.2025043", "0.2479362", "0.2866641", "0.3673334",
"0.5121613", "Oct 2017"), class = "factor"), `Nov 2017` = structure(c(`zz` = 3L,
aa = 6L, `bb` = 1L, `cc` = 4L,
dd = 2L, Premium = 7L, `ff` = 5L), .Label = c("0.10724728",
"0.15016708", "0.1857769", "0.2280702", "0.2691103", "0.3417920",
"0.4948308", "Nov 2017"), class = "factor"), `Dec 2017` = structure(c(`zz` = 2L,
aa = 5L, `bb` = 1L, `cc` = 3L,
dd = 6L, Premium = 7L, `ff` = 4L), .Label = c("0.08775835",
"0.1659323", "0.1945492", "0.2304338", "0.2958437", "0.29888712",
"0.4493300", "Dec 2017"), class = "factor"), `Jan 2018` = structure(c(`zz` = 2L,
aa = 5L, `bb` = 1L, `cc` = 3L,
dd = 6L, Premium = 7L, `ff` = 4L), .Label = c("0.08016616",
"0.1565603", "0.1753247", "0.2134740", "0.2811306", "0.34148205",
"0.4315794", "Jan 2018"), class = "factor")), row.names = c("zz",
"aa", "bb", "cc", "dd",
"Premium", "ff"), class = "data.frame")
答案 0 :(得分:5)
当您将非non-numeric argument to binary operator
类型的内容传递给诸如numeric
或+
之类的二进制运算符时,将发生-
错误。例如:
> 'a'+3
Error in "a" + 3 : non-numeric argument to binary operator
调用quantile
时收到此错误,因为您以intrc_pattern_re()
传递的data.frame中的所有数字都被错误地分类为factors
而不是{{ 1}}。如果查看numeric
的输出,则会看到每一行都显示dput
class = "factor"))
中的某个地方是一个二进制运算符,期望接收到quantile
并在得到numeric
时引发错误。
要解决此问题,您只需将factor
返回的data.frame的每一列改成intrc_pattern_re()
。
如果我们将您的数据框加载为numeric
:
df
如果我们将这些quantile(x, probs = seq(0, 1, 0.25), na.rm = TRUE)
Error in (1 - h) * qs[i] : non-numeric argument to binary operator
变量转换为factor
(请注意,您必须先转换为numeric
,然后转换为character
),那么它将起作用:
numeric