Hello,
I have an SQL source block that returns this:
#+RESULTS: query
| date | jid | te | rgkmax |
time | elapsed |
|-----------------+-------+----------------------------------+--------+----------+-------------------------------|
| 20210528-053900 | 647_1 | 20210528-053900 1 -1333.58106425 | 7 |
01:00:00 | Job Wall-clock time: 00:03:16 |
| 20210528-053900 | 647_1 | 20210528-053900 2 -1333.25006295 | 7 |
01:00:00 | Job Wall-clock time: 00:03:16 |
| 20210528-053900 | 647_1 | 20210528-053900 3 -1332.40596663 | 7 |
01:00:00 | Job Wall-clock time: 00:03:16 |
| 20210528-053900 | 647_1 | 20210528-053900 4 -1327.18802970 | 7 |
01:00:00 | Job Wall-clock time: 00:03:16 |
| 20210528-053900 | 647_1 | 20210528-053900 5 -1320.63944318 | 7 |
01:00:00 | Job Wall-clock time: 00:03:16 |
I would like to pass this into R for further processing. At the moment
I have this:
#+begin_src R :session :colnames yes :var data=query
r <- data.frame($data)
t <- data.frame( str_split_fixed(r$te, " ", 3) )
colnames(t) <- c('date','cycle','energy')
df <- data.frame(r$date,r$jid,t$cycle,t$energy,r$x,r$time,r$elapsed)
# colnames(df) <- c('date','jid','cycle','energy','time','elapsed')
# df <- transmute(df,date,jid,cycle,energy,time,elapsed =
str_remove(elapsed,"Job Wall-clock time: "))
# tail(filter(df,jid == '$jid'),1)$energy
#+end_src
and the output is:
/tmp/unknown!4fCXoM:20:17: unexpected '$'
19: })
20: r <- data.frame($
I presume that is because R uses '$' to select a column from a data
frame.
I tried quoting like this:
r <- data.frame("$data")
but the output is then:
#+RESULTS:
| t.cycle | t.energy |
|---------+----------|
whereas I was expecting 7 columns of data from data frame 'df'.
I don't know if this is an org problem or an R problem, but if someone
can cast light on it, please do.
Thanks,
Roger
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