diff --git a/articles/antaresH5.html b/articles/antaresH5.html index 4777efdc..1854bc30 100644 --- a/articles/antaresH5.html +++ b/articles/antaresH5.html @@ -85,7 +85,7 @@

Use h5 file format with ‘antaresRead’

Titouan Robert

-

2024-02-27

+

2024-03-15

Source: vignettes/antaresH5.Rmd @@ -104,8 +104,8 @@

Installation
source("https://bioconductor.org/biocLite.R')
-biocLite("rhdf5')
+
source("https://bioconductor.org/biocLite.R')
+biocLite("rhdf5')

With R >= 3.5.0 :

 install.packages("BiocManager")
diff --git a/articles/antaresRead.html b/articles/antaresRead.html
index c3850a6a..1fbdc7e9 100644
--- a/articles/antaresRead.html
+++ b/articles/antaresRead.html
@@ -85,7 +85,7 @@ 

The ‘antaresRead’ Package

François Guillem

-

2024-02-27

+

2024-03-15

Source: vignettes/antaresRead.Rmd @@ -217,8 +217,8 @@

Manipulating data
areas[, .(area, timeId, netLoad = LOAD - `ROW BAL.` - PSP - MISC. - NDG -
-                                    H. ROR - WIND - SOLAR)]

+
areas[, .(area, timeId, netLoad = LOAD - `ROW BAL.` - PSP - MISC. - NDG -
+                                    H. ROR - WIND - SOLAR)]

One can also compute aggregated statistics. For instance, the following code will compute the total load of all areas per timeId:

diff --git a/news/index.html b/news/index.html index 887cc1a3..4745bd42 100644 --- a/news/index.html +++ b/news/index.html @@ -78,6 +78,8 @@