n the 'Date'
> > >column.
> > >data_long <- mutate(data_long, JulianDay = format(data_long$Date, "%j"))
> > >
> > ># Creates a new column called 'TimePeriod' where 1 = pre-construction,
> > >and 2 = post-construction of
iod)
> >
> ># Change data types of Month, Year nad JulianDay
> >data_long$Month <- as.numeric(data_long$Month)
> >data_long$Year <- as.numeric(data_long$Year)
> >data_long$JulianDay <- as.numeric(data_long$JulianDay)
> >
> ># 'Compactly disp
s wrote:
>>
>> Often the issue is that different variables in the wide format are of
>> different types so won't simply
>> pivot_longer without you making decisions which the function shouldn't make
>> for you. However, I think
>> the error mes
ometimes seen, legalistically correctly I think, as outside the remit of
> this Email list) but I agree
> that the help for pivot_longer() and many other tidyverse functions is not as
> good as it could be particularly
> for people new to R. Often there is better documentation in vignettes
Sighh...
Questions on "non-standard" packages such as the TidyVerse universe
are off topic here: per the posting guide:
"If the question relates to a contributed package , e.g., one
downloaded from CRAN, try contacting the package maintainer first. You
can also use find("functionname") and
packag
quot;R-help Mailing List"
> Sent: Sunday, 28 November, 2021 13:57:07
> Subject: [R] Syntax help for 'Pivot_longer'
> Hello,
>
> I have a wide table that I transform to a long table for analysis.
> The wide table has 25 columns - the first is labels, then columns 2
Hi!
If I understood this correctly, you want to pivot the columns from 2 to
25 and use the first column as a "key". Your data has 27 columns in
total, right?
I tested it with your data and seems that the parameter 'cols' does
have some problems. It takes all variables irrespectively of the range
Hello,
I have a wide table that I transform to a long table for analysis.
The wide table has 25 columns - the first is labels, then columns 2:25
are monthly data of LST which is in 19 rows.
I mutate this with :
data_long <- data %>% pivot_longer(cols = 2:25, names_to =
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