Description Usage Arguments Value Author(s) Examples
make a dataframe of stations records for each requested hour
1 2 3 4 5  | makeDataset(user_token = Sys.getenv("AGROMET_API_V1_KEY"),
  api_request = "https://app.pameseb.be/agromet/api/v2/sp/cleandata",
  sensors = "tsa", stations = "all", stations_meta = stations.df,
  dfrom = NULL, dto = NULL, json = NULL, staticExpl = "elevation",
  dynExpl = NULL)
 | 
sensors | 
 a character vector specifying the name of the sensors for which you data. One of tsa, hct, hra, ens, plu, vvt.  | 
stations | 
 a character vector specifying the sid's of the stations to use.  | 
dfrom | 
 a datetime string specifying the dateTime from which you want data Must have the form "YYYY-MM-DDTHH:MM:SSZ"  | 
dto | 
 a datetime string specifying the dateTime to which you want data Must have the form "YYYY-MM-DDTHH:MM:SSZ"  | 
json | 
 a character specifying the path of a json file constructed from a batch db export. If NULL the API will be called.  | 
staticExpl | 
 a character vector specifying the desired static explanatory variables Any combinations of "elevation", "slope", "aspect", "Agricultural_areas", "Artificials_surfaces", "Forest", "Herbaceous_vegetation". Latitude and longitude are always provided. Default = "Elevation"  | 
dynExpl | 
 a character vector specifying the dynamic explanatory variables you want to add to the task. Any combinations of inca, ens  | 
token | 
 a character specifying your agrometAPI token  | 
A 2 elements named list
snitch : a boolean. Is TRUE if function has provided the expected result. Is FALSE is function throws an error
output : a named list which elements are :
value : a list which elements are of classes data.frame which colnames correspond to sid, mtime, the sensors, x (latitude), y (longitude) and the explanatory variables
condition : a character specifying the condition encountered by the function : success, warning, or error.
message : a character specifying the message relative to the condition.
Thomas Goossens
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17  | ## Not run: 
# get the dataset
myDataset = makeDataset(
  dfrom = "2017-03-04T15:00:00Z",
  dto = "2017-03-04T15:00:00Z",
  sensor = "tsa")
# extract the data
myDataset = myDataset$output$value
# each dataframe is stored in a list
class(myDataset)
# show the head of the first dataframe
head(myDataset[[1]])
## End(Not run)
 | 
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