数据框是可见的,没有任何错误.但是当使用包XLSX的write.xlsx函数打印相同时,它会给出错误.
Error in .jcall(cell, "V", "setCellValue", value) : method setCellValue with signature ([D)V not found.
data.frame的输入看起来像:
Timestamp qs pqs logqs es p_imp dep r_dep agg_rtn (time) (dbl) (dbl) (dbl) (dbl) (dbl) (dbl) (dbl) (dbl) 1 2015-05-04 09:29:59 0.05788732 0.0007478696 0.0007478545 0.09633803 -0.0446830986 3533.518 274079.9 -0.0006432937 2 2015-05-04 10:00:00 0.04948394 0.0006362707 0.0006362707 0.07586009 0.0088016055 2416.431 187953.1 0.0000000000 3 2015-05-04 10:30:00 0.05554795 0.0007142532 0.0007142532 0.06417808 -0.0002739726 3245.574 252422.0 0.0000000000 4 2015-05-04 10:59:59 0.04863014 0.0006194244 0.0006194244 0.08434442 0.0024951076 3563.401 279503.9 0.0000000000 5 2015-05-04 11:30:00 0.05761986 0.0007319037 0.0007319037 0.07851027 0.0154965753 2010.943 158429.1 -0.0006339144 6 2015-05-04 12:00:00 0.04957627 0.0006285051 0.0006285051 0.07025424 0.0070762712 1819.908 143546.0 0.0000000000 Variables not shown: vol_30_sum (dbl), vol_30_mean (dbl), p_return_sqr (dbl), p_return_mean (dbl), Lim_or_out (dbl), closing_price (dbl), closing_vol (dbl)
请帮助解决此错误.
仍然没有可重现的例子,但是从class(q1)
它看起来q1
是一个tbl_df
(dplyr
包产生的数据帧),而write.xlsx
期望a data.frame
.
尝试按照预期给出write.xlsx
一个平原data.frame
.例如
write.xlsx(as.data.frame(q1), ...)
这是一个可重现的示例(即您可以将其复制粘贴到R会话中以重现错误+修复).
library(dplyr) iris2 <- tbl_df(iris) class(iris2) # like yours # [1] "tbl_df" "tbl" "data.frame" # Now let's try to write to XLSX using command as mentioned in your comments library(xlsx) write.xlsx(iris2, file='test.xlsx', sheetName="Sheet1", col.names=TRUE, row.names=FALSE, append=TRUE) # Error in .jcall(cell, "V", "setCellValue", value) : # method setCellValue with signature ([D)V not found # In addition: Warning message: # In if (is.na(value)) { : # the condition has length > 1 and only the first element will be used # ^--- we can reproduce your error. This is the point of a reproducible example, so we can see if our fixes work for you.
现在让我们通过确保write.xlsx获取data.frame而不是tbl_df来尝试修复它!
write.xlsx(as.data.frame(iris2), file='test.xlsx', sheetName="Sheet1", col.names=TRUE, row.names=FALSE, append=TRUE) # huzzah!