The dataframe is visible with out any error. But when the same is printed using write.xlsx fucnction of the package XLSX, it gives the error.
Error in .jcall(cell, "V", "setCellValue", value) :
method setCellValue with signature ([D)V not found.
The dput of the data.frame looks like:
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)
Kindly help in resolving this error.
Still no reproducible example, but from your class(q1)
it appears that q1
is a tbl_df
(the sort of dataframe that the dplyr
package produces) whereas write.xlsx
expects a data.frame
.
Try giving write.xlsx
a plain data.frame
as it expects. e.g.
write.xlsx(as.data.frame(q1), ...)
Here's a reproducible example (i.e. you could copy-paste it into your R session to reproduce the bug + fix).
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.
Now let's try fix it by making sure that write.xlsx gets a data.frame, not a tbl_df!
write.xlsx(as.data.frame(iris2), file='test.xlsx', sheetName="Sheet1", col.names=TRUE, row.names=FALSE, append=TRUE)
# huzzah!