Open cpsyctc2 opened 5 years ago
Thanks for the report -- this seems to be more of an issue with splitting tables, as the below works:
> pander(tmpDF[, 1:3], justify = rep('right', 4), row.names = 1:nrow(tmpDF))
-------------------------------------------------------
companyid nRowsDat nUsers
-------- -------------------------- ---------- --------
**1** 5be03792e60b662819bb2068 7429 57
**2** 5be071e44f07bccdf1601d0e 7742 70
**3** 5be069ddc5ad8b5d83c1a453 2829 15
**4** 5c5d5d3f65c8f7daf974b770 448 4
**5** 5c7e670b08263a276d43198d 302 2
**6** 5c8f873bb34f572ae12bd0b3 1994 23
**7** 5c8fccf2bf6843025d207058 827 12
**8** 5ca1b137e4e8ee864f9c8152 1634 14
**9** 5ca1fd523115bd8cf834fe7d 441 4
**10** 5cab31b0bacb74464a4cba4e 18 1
-------------------------------------------------------
> pander(tmpDF, justify = 'rrrrrrr', row.names = 1:nrow(tmpDF), split.table = Inf)
----------------------------------------------------------------------------------------------
companyid nRowsDat nUsers firstDate lastDate daysInData
-------- -------------------------- ---------- -------- ------------ ------------ ------------
**1** 5be03792e60b662819bb2068 7429 57 2018-09-06 2019-04-14 220
**2** 5be071e44f07bccdf1601d0e 7742 70 2018-09-06 2019-04-08 214
**3** 5be069ddc5ad8b5d83c1a453 2829 15 2018-11-08 2019-02-06 90
**4** 5c5d5d3f65c8f7daf974b770 448 4 2019-02-25 2019-03-06 9
**5** 5c7e670b08263a276d43198d 302 2 2019-03-05 2019-04-02 28
**6** 5c8f873bb34f572ae12bd0b3 1994 23 2019-03-18 2019-04-14 27
**7** 5c8fccf2bf6843025d207058 827 12 2019-03-26 2019-04-13 18
**8** 5ca1b137e4e8ee864f9c8152 1634 14 2019-04-01 2019-04-14 13
**9** 5ca1fd523115bd8cf834fe7d 441 4 2019-04-01 2019-04-13 12
**10** 5cab31b0bacb74464a4cba4e 18 1 2019-04-08 2019-04-08 0
----------------------------------------------------------------------------------------------
Will look into this more later.
Interesting, I hadn't tried that on this table nor noticed it with others and I use split.tables = Inf quite a bit but I guess I rarely find myself imposing the 1:nrow() row names.
Really appreciate you looking into it Gergely. I of course bodged things by cbinding in a column for the 1:nrow() labels on the left.
I'd definitely lobby for my feature request of the "row.names = TRUE" option too but that's in my other submission!
Many thanks again,
Chris
From: "Gergely Daróczi" notifications@github.com To: "Rapporter/pander" pander@noreply.github.com Cc: "cpsyctc2" ce_github@psyctc.org, "Author" author@noreply.github.com Sent: Tuesday, 16 April, 2019 00:14:38 Subject: Re: [Rapporter/pander] Seemingly a bug in justify= and rownames=1:nrow() (#339)
Thanks for the report -- this seems to be more of an issue with splitting tables, as the below works:
pander( tmpDF [, 1 : 3 ], justify = rep( ' right ' , 4 ), row.names = 1 : nrow( tmpDF )) ------------------------------------------------------- & nbsp ; companyid nRowsDat nUsers -------- -------------------------- ---------- -------- 1 5be03792e60b662819bb2068 7429 57 2 5be071e44f07bccdf1601d0e 7742 70 3 5be069ddc5ad8b5d83c1a453 2829 15 4 5c5d5d3f65c8f7daf974b770 448 4 5 5c7e670b08263a276d43198d 302 2 6 5c8f873bb34f572ae12bd0b3 1994 23 7 5c8fccf2bf6843025d207058 827 12 8 5ca1b137e4e8ee864f9c8152 1634 14 9 5ca1fd523115bd8cf834fe7d 441 4 10 5cab31b0bacb74464a4cba4e 18 1 ------------------------------------------------------- > pander( tmpDF , justify = ' rrrrrrr ' , row.names = 1 : nrow( tmpDF ), split.table = Inf )
& nbsp ; companyid nRowsDat nUsers firstDate lastDate daysInData --------
------------ 1 5be03792e60b662819bb2068 7429 57 2018 - 09 - 06 2019 - 04
14 220 2 5be071e44f07bccdf1601d0e 7742 70 2018 - 09 - 06 2019 - 04 - 08 214 3 5be069ddc5ad8b5d83c1a453 2829 15 2018 - 11 - 08 2019 - 02 - 06 90 4 5c5d5d3f65c8f7daf974b770 448 4 2019 - 02 - 25 2019 - 03 - 06 9 5 5c7e670b08263a276d43198d 302 2 2019 - 03 - 05 2019 - 04 - 02 28 6 5c8f873bb34f572ae12bd0b3 1994 23 2019 - 03 - 18 2019 - 04 - 14 27 7 5c8fccf2bf6843025d207058 827 12 2019 - 03 - 26 2019 - 04 - 13 18 8 5ca1b137e4e8ee864f9c8152 1634 14 2019 - 04 - 01 2019 - 04 - 14 13 9 5ca1fd523115bd8cf834fe7d 441 4 2019 - 04 - 01 2019 - 04 - 13 12 10 5cab31b0bacb74464a4cba4e 18 1 2019 - 04 - 08 2019 - 04 - 08 0
Will look into this more later.
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-- Chris Evans chris@psyctc.org Skype: chris-psyctc Visiting Professor, University of Sheffield chris.evans@sheffield.ac.uk I do some consultation work for the University of Roehampton chris.evans@roehampton.ac.uk and other places but this chris@psyctc.org remains my main Email address. I have "semigrated" to France, see: https://www.psyctc.org/pelerinage2016/semigrating-to-france/ if you want to book to talk, I am trying to keep that to Thursdays and my diary is now available at: https://www.psyctc.org/pelerinage2016/ecwd_calendar/calendar/ Beware: French time, generally an hour ahead of UK. That page will also take you to my blog which started with earlier joys in France and Spain!
I use pander a lot for tables in Rmarkdown generated from Rstudio so many thanks for the package.
Here's a reproducible example I think. It may be a bit of an edge case as I do want row names when they are 1:nrow(tmpDF)
but
Which is correct, as it is that
pander(tmpDF, justify = "lrrllr")
works correctly.I hope I'm not missing something. TIA, Chris