cleaning up

Dockerfile

@@ -22,7 +22,7 @@ RUN apt-get -y install python3 python3-pip
 
 RUN install2.r devtools remotes reticulate
 
-RUN R -e "remotes::install_github(c('cboettig/minioclient','eco4cast/stac4cast', 'eco4cast/EFIstandards','cboettig/aws.s3','rqthomas/cronR','eco4cast/score4cast','EcoForecast/ecoforecastR','eco4cast/neon4cast','cboettig/prov', 'eco4cast/read4cast','eco4cast/gefs4cast'))"
+RUN R -e "remotes::install_github(c('cboettig/minioclient','eco4cast/stac4cast', 'eco4cast/EFIstandards','cboettig/aws.s3','eco4cast/score4cast','EcoForecast/ecoforecastR','eco4cast/neon4cast','cboettig/prov', 'eco4cast/read4cast','eco4cast/gefs4cast'))"
 
 RUN install2.r arrow renv rjags neonstore ISOweek RNetCDF fable fabletools forecast imputeTS duckdbfs gsheet
 

dashboard/instructions.qmd

@@ -11,7 +11,7 @@ editor:
 We provide an overview of the steps for submitting with the details below:
 
 1)  Explore the data (e.g., targets) and build your forecast model.
-2)  Register and describe you model at <https://forms.gle/kg2Vkpho9BoMXSy57>. You are not required to register if your forecast submission uses the word "example" in your model_id". Any forecasts with "example" in the model_id will not be used in forecast evaluation analyses.
+2)  Register and describe you model at <https://forms.gle/kg2Vkpho9BoMXSy57>. You are not required to register if your forecast submission uses the word "example" in your model_id". Any forecasts with "example" in the model_id will not be used in forecast evaluation analyses. Use neon4cast as the challenge you are registering for. 
 3)  Generate a forecast!
 4)  Write the forecast output to a file that follows our standardized format (described below).
 5)  Submit your forecast using an R function (provided below).

dashboard/targets.qmd

@@ -105,7 +105,7 @@ terrestrial_targets <- read_csv(url_P1D, show_col_types = FALSE)
 
 The file contains the following columns
 
-```{r}
+```{r echo = FALSE}
 terrestrial_targets |> 
   head() |> 
   knitr::kable()
@@ -165,7 +165,7 @@ aquatics_targets <- read_csv(url, show_col_types = FALSE)
 
 The file contains the following columns
 
-```{r}
+```{r echo = FALSE}
 aquatics_targets |> 
   head() |> 
   knitr::kable()
@@ -224,7 +224,7 @@ phenology_targets <- read_csv(url, show_col_types = FALSE)
 
 The file contains the following columns
 
-```{r}
+```{r echo = FALSE}
 phenology_targets |> 
   head() |> 
   knitr::kable()
@@ -276,7 +276,7 @@ beetles_targets <- read_csv(url, show_col_types = FALSE)
 
 The file contains the following columns
 
-```{r}
+```{r echo = FALSE}
 beetles_targets |> 
   head() |> 
   knitr::kable()
@@ -330,7 +330,7 @@ ticks_targets <- read_csv(url, show_col_types = FALSE)
 
 The file contains the following columns
 
-```{r}
+```{r echo = FALSE}
 ticks_targets |> 
   head() |> 
   knitr::kable()