From d11d890fb2ec58f701c0d9c8806dbc691ae11460 Mon Sep 17 00:00:00 2001 From: eliocamp Date: Fri, 19 Apr 2024 04:55:33 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20eliocamp?= =?UTF-8?q?/metR@c15657b08e0f9b16b46eb6ae1aa8f70321beb5b4=20=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- index.html | 7 +++++-- pkgdown.yml | 2 +- reference/FitLm.html | 2 +- 3 files changed, 7 insertions(+), 4 deletions(-) diff --git a/index.html b/index.html index c2c84b17..4af8fc43 100644 --- a/index.html +++ b/index.html @@ -102,7 +102,10 @@

Installationinstall.packages("metR")

Or the development version with:

-install.packages("metR", repos = c("https://eliocamp.github.io/metR", getOption("repos")))
+if (!requireNamespace("pak", quietly = TRUE)) { + install.packages("pak") +} +pak::pak("metR")

If you need to read netcdf files, you might need to install the netcdf and udunits2 libraries. On Ubuntu and it’s derivatives this can be done by typing

sudo apt install libnetcdf-dev netcdf-bin libudunits2-dev
@@ -122,7 +125,7 @@

Citing the package#> title = {metR: Tools for Easier Analysis of Meteorological Fields}, #> author = {Elio Campitelli}, #> year = {2021}, -#> note = {R package version 0.15.0}, +#> note = {R package version 0.15.0.9000}, #> url = {https://eliocamp.github.io/metR/}, #> doi = {10.5281/zenodo.2593516}, #> } diff --git a/pkgdown.yml b/pkgdown.yml index 9f6540c4..0285ea76 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -4,7 +4,7 @@ pkgdown_sha: ~ articles: Visualization-tools: Visualization-tools.html Working-with-data: Working-with-data.html -last_built: 2024-04-19T04:50Z +last_built: 2024-04-19T04:54Z urls: reference: https://eliocamp.github.io/metR/reference article: https://eliocamp.github.io/metR/articles diff --git a/reference/FitLm.html b/reference/FitLm.html index b3de5a0a..909a8ded 100644 --- a/reference/FitLm.html +++ b/reference/FitLm.html @@ -145,7 +145,7 @@

Examples

regr <- geopotential[, FitLm(gh, date, se = TRUE), by = .(lon, lat)] }) #> user system elapsed -#> 0.255 0.008 0.263 +#> 0.258 0.007 0.265 ggplot(regr[term != "(Intercept)"], aes(lon, lat)) + geom_contour(aes(z = estimate, color = after_stat(level))) +