[R] halting with errors
Nick Wray
n|ckmwr@y @end|ng |rom gm@||@com
Mon Sep 18 18:54:02 CEST 2023
Hello I am downloading flow data from the UK national river flow archive
(NRFA). I have code which works (thanks to previous help on r-help) but
the problem is that before I make a call for the data for that particular
year I don’t know whether the data exists for that particular year and
catchment
This is a typical url and it works if you paste it into the top line on a
web page. 15007 is the code for the Pitnacree catchment in Scotland
https://timeseries.sepa.org.uk/KiWIS/KiWIS?service=kisters&type=queryServices&datasource=0&request=getTimeseriesValues&ts_path=1/15007/Q/15m.Cmd&from=2015-01-01&to=2015-01-31&returnfields=Timestamp,Value,Quality%20Code
It works in R as well with
page<-read_html("
https://timeseries.sepa.org.uk/KiWIS/KiWIS?service=kisters&type=queryServices&datasource=0&request=getTimeseriesValues&ts_path=1/15007/Q/15m.Cmd&from=2015-01-01&to=2015-01-31&returnfields=Timestamp,Value,Quality%20Code
")
yiq<-page |>
html_element("table") |>
html_table(header = TRUE) |>
(\(x) {
hdr <- unlist(x[3, ])
y <- x[-(1:3), ]
names(y) <- hdr
y
})()
print(nrow(yiq))
yiq
But if I try to move onto another catchment Kenmore 15006
eg
https://timeseries.sepa.org.uk/KiWIS/KiWIS?service=kisters&type=queryServices&datasource=0&request=getTimeseriesValues&ts_path=1/15016/Q/15m.Cmd&from=2015-01-01&to=2015-01-31&returnfields=Timestamp,Value,Quality%20Code
So in R
read_html(“
https://timeseries.sepa.org.uk/KiWIS/KiWIS?service=kisters&type=queryServices&datasource=0&request=getTimeseriesValues&ts_path=1/15016/Q/15m.Cmd&from=2015-01-01&to=2015-01-31&returnfields=Timestamp,Value,Quality%20Code
”)
This doesn’t work because there’s no data for this catchment for this year
I am pasting in different years (from say 1961 to 2017) in a loop (and this
works if the data sets exist) but the problem is that if the data is not
there (and there doesn’t seem to be a way of determining this elsewhere)
and so there’s nothing to read, an error message comes up and halts the
program loop, so that manually I have to reset the url to try to find out
whether there is data for the next year.
What I’d like to know is whether there’s any way in R of seeing whether the
data set exists, and if doesn’t, moving on the next possibility without
halting…
Any thoughts appreciated
Thanks Nick Wray
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