Thank you Simon,
It seems not to be related to the R package but rather to the OS,
(just got the same error when installing the shiny R package from
CRAN).
I am on an M1 mac running Windows ARM in Parallels. Installed a
x86_64-w64 R version.
"** byte-compile and prepare package for lazy loading
Yes:
$ R CMD INSTALL --help | grep error
--no-clean-on-error do not remove installed package on error
But probably more commonly used way is to install the package from its unpacked
directory as that avoids the use of temporary directories in the first place.
In you case you can als
I am getting a package build error, and can not figure out the problem.
The error is
"
ERROR: lazy loading failed for package 'prolfqua'
* removing 'C:/Users/
"
However since R CMD build removes the temp directory and does not give
any other errors how can I find out what the build problem is?
Is
Well, just for giggles, Gerrit's solution can be easily vectorized (i.e. no
apply()-type stuff needed) IFF the structure of all the data frames are
identical so that rbind() works:
d <-do.call('rbind',Total[select.stat]) ## one data frame to combine them
all ;-)
d[d$sensor == 'thermometer','code']
And normalTest is not in tseries, but in fBasics.
- pd
> On 15 Dec 2022, at 04:11 , Jeff Newmiller wrote:
>
> Contact the package maintainer. See maintainer().
>
> On December 14, 2022 7:04:28 PM PST, roslinazairimah zakaria
> wrote:
>> Hi R-users,
>>
>> Just to inform that there is one spe
Hello, Stefano,
maybe the following example contains what you want to achieve:
Station1 <- data.frame(sensor = c("thermometer", "raingauge",
"snowgauge", "anemometer"),
code = c(2583, 1478, 3178, NA))
Station2 <- data.frame(sensor = c("thermometer", "raingauge",
"snowga
Dear R-list users,
I have a list of n data frames built as follows:
Station1 <- data.frame(sensor = c("thermometer", "raingauge", "snowgauge",
"anemometer"), code = c(2583, 1478, 3178, NA))
Station2 <- data.frame(sensor = c("thermometer", "raingauge", "snowgauge",
"anemometer"), code = c(2584,
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