Nothing
## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----setup, eval = FALSE------------------------------------------------------
# library(hakaiApi)
#
# # Initialize the client
# # follow link in console and paste auth. code in console
# # (ignore alignment issue)
# client <- hakaiApi::Client$new()
## ----filter, eval = FALSE-----------------------------------------------------
# # First return some chl data with no filters
# endpoint <- "/eims/views/output/chlorophyll"
# all_chl <- client$get(paste0(client$api_root, endpoint))
# # by default only 20 rows are returned
# str(all_chl) # Look at what columns are available to filter on
#
# # Narrow it down to QU39
# query <- "?site_id=QU39"
# client$get(paste0(client$api_root, endpoint, query))
#
# #Get back only accepted values
# query <- "?site_id=QU39&chla_flag=AV"
# client$get(paste0(client$api_root, endpoint, query))
#
# # Get values from 2017
# query <- "?site_id=QU39&chla_flag=AV&date.year=2017"
# client$get(paste0(client$api_root, endpoint, query))
#
# # Include only GF/F from the surface
# # It may be useful to split up the queries and rejoin them over multiple lines
# # Using the paste() or paste0() functions
# query <- paste(
# "site_id=QU39",
# "chla_flag=AV",
# "date.year=2017",
# "filter_type=GF/F",
# "line_out_depth=0",
# sep = "&"
# )
# client$get(paste0(client$api_root, endpoint, "?", query))
#
# # Select only the columns I'm interested in
# query <- paste(
# "site_id=QU39",
# "chla_flag=AV",
# "date.year=2017",
# "filter_type=GF/F",
# "line_out_depth=0",
# "fields=date,chla,lab_technician",
# sep = "&"
# )
# client$get(paste0(client$api_root, endpoint, "?", query))
#
# # This looks good so now you can assign a variable and remove the limit
# query <- paste(
# "site_id=QU39",
# "chla_flag=AV",
# "date.year=2017",
# "filter_type=GF/F",
# "line_out_depth=0",
# "fields=date,chla,lab_technician",
# "limit=-1",
# sep = "&"
# )
# a_great_chl_query <- client$get(paste0(client$api_root, endpoint, "?", query))
#
# plot(
# a_great_chl_query$date,
# a_great_chl_query$chla,
# xlim = as.Date(c("2017-01-01", "2018-01-01")),
# ylim = c(0, 5)
# )
#
## ----sort, eval = FALSE-------------------------------------------------------
# endpoint <- "/eims/views/output/chlorophyll"
# query <- paste(
# "fields=date,chla,site_id,line_out_depth",
# "chla>0", # Note: added chla>0 to remove NA values
# "date.year=2017",
# "sort=-chla",
# "limit=10",
# sep = "&"
# )
# top_10_chl <- client$get(paste0(client$api_root, endpoint, "?", query))
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