docs: updated example datasets

DESCRIPTION

@@ -14,9 +14,9 @@ URL: https://github.com/MazamaScience/AirSensor2
 BugReports: https://github.com/MazamaScience/AirSensor2/issues
 Depends:
     R (>= 4.0.0),
-    MazamaCoreUtils (>= 0.4.14)
+    MazamaCoreUtils (>= 0.4.15)
 Imports:
-    AirMonitor (>= 0.3.9),
+    AirMonitor (>= 0.3.11),
     countrycode,
     dplyr (>= 1.0.0),
     geodist,
@@ -26,8 +26,8 @@ Imports:
     lubridate,
     magrittr,
     MazamaLocationUtils (>= 0.3.8),
-    MazamaSpatialUtils (>= 0.8.1),
-    MazamaTimeSeries (>= 0.2.10),
+    MazamaSpatialUtils (>= 0.8.5),
+    MazamaTimeSeries (>= 0.2.13),
     readr,
     rlang,
     sf,

NEWS.md

@@ -1,4 +1,10 @@
 
+# AirSensor2 0.3.5
+
+- Updated Mazama package dependencies.
+- Updated example datasets.
+
+
 # AirSensor2 0.3.4
 
 - Renamed `PurpleAir_createMonitor()` to `PurpleAir_createNewMonitor()`. This

R/data.R

@@ -1,16 +1,18 @@
 #' @encoding UTF-8
 #' @title Example raw Purple Air Synoptic dataset
-#' @format A tibble with 1996 rows and 37 columns of data.
+#' @format A tibble with 2260 rows and 37 columns of data.
 #' @description The \code{example_pas_raw} dataset provides a quickly loadable
-#' version of raw Purple Air synoptic data for practicing and code
-#' examples. This dataset contains data for sensors in Washington and Oregon
-#' and was generated on 2023-05-03 by running:
+#' version of raw Purple Air synoptic data for practicing and code examples
+#' This dataset contains data for sensors in Washington and Oregon and was
+#' generated on 2023-08-12 by running:
 #'
 #' \preformatted{
 #' library(AirSensor2)
 #'
 #' initializeMazamaSpatialUtils()
 #'
+#' source("global_vars.R") # contains PurpleAir_API_READ_KEY
+#'
 #' example_pas_raw <-
 #'   pas_downloadParseRawData(
 #'     PurpleAir_API_READ_KEY,
@@ -40,17 +42,19 @@
 
 #' @encoding UTF-8
 #' @title Example enhanced Purple Air Synoptic dataset
-#' @format A tibble with 1948 rows and 50 columns of data.
+#' @format A tibble with 2209 rows and 50 columns of data.
 #' @description The \code{example_pas} dataset provides a quickly loadable
 #' version of a \emph{pas} object for practicing and code examples.
 #' This dataset contains data for sensors in Washington and Oregon
-#' and was generated on 2023-05-03 by running:
+#' and was generated on 2023-08-12 by running:
 #'
 #' \preformatted{
 #' library(AirSensor2)
 #'
 #' initializeMazamaSpatialUtils()
 #'
+#' source("global_vars.R") # contains PurpleAir_API_READ_KEY
+#'
 #' example_pas <-
 #'   pas_createNew(
 #'     api_key = PurpleAir_API_READ_KEY,
@@ -70,16 +74,18 @@
 
 
 #' @encoding UTF-8
-#' @title Example enhanced Purple Air Synoptic dataset
-#' @format A tibble with 1948 rows and 50 columns of data.
-#' @description The \code{example_pas} dataset provides a quickly loadable
-#' version of a \emph{pas} object for practicing and code examples.
-#' This dataset contains data for sensors in Washington and Oregon
-#' and was generated on 2023-05-03 by running:
+#' @title Example Purple Air Timeseries dataset
+#' @format A list containing two tibbles named 'meta' and 'data'.
+#' @description The \code{example_pat} dataset provides a quickly loadable
+#' version of a \emph{pat} object for practicing and code examples.
+#' This dataset contains 24 hours worth of data for a single PurpleAir sensor
+#' and was generated on 2023-08-12 by running:
 #'
 #' \preformatted{
 #' library(AirSensor2)
 #'
+#' source("global_vars.R") # contains PurpleAir_API_READ_KEY
+#'
 #' example_pat <-
 #'   pat_createNew(
 #'     api_key = PurpleAir_API_READ_KEY,