Typo and textual corrections + link to lubridate/ggplot2

README.Rmd

@@ -44,7 +44,7 @@ If you want to know the supported variables, ask for the supported variables:
 supported_variables("en")
 ```
 
-Listing the available air_pressure stations:
+Listing the available air pressure stations:
 
 ```{r station_listing}
 get_stations("air_pressure")
@@ -59,7 +59,7 @@ overpelt_pressure <- get_timeseries_tsid("78124042",
 head(overpelt_pressure)
 ```
 
-Making a plot of the data with ggplot:
+Making a plot of the data with [`ggplot2`](https://ggplot2.tidyverse.org/):
 
 ```{r plot_pressure, echo = TRUE, eval = FALSE}
 library(ggplot2)
@@ -108,7 +108,7 @@ More detailed tutorials are available in the package vignettes!
 
 The amount of data downloaded from waterinfo.be is limited via a credit system. You do not need to get a token right away to download data. For limited and irregular downloads, a token will not be required.
 
-When you require more extended data requests, please request a download token from the waterinfo.be site administrators via the e-mail adress <hydrometrie@waterinfo.be> with a statement of which data and how frequently you would like to download data. You will then receive a client-credit code that can be used to obtain a token that is valid for 24 hours, after which the token can be refreshed with the same client-credit code.
+When you require more extended data requests, please request a download token from the waterinfo.be site administrators via the e-mail address <hydrometrie@waterinfo.be> with a statement of which data and how frequently you would like to download data. You will then receive a client-credit code that can be used to obtain a token that is valid for 24 hours, after which the token can be refreshed with the same client-credit code.
 
 Get token with client-credit code: (limited client-credit code for testing purposes)
 

vignettes/define_date_periods.Rmd

@@ -35,11 +35,11 @@ The package will both except valid date strings as well as valid date objects (`
 * "2017-01"
 * "2017"
 
-According to the `lubridate` package, these orders are accepted: ymd_hms, ymd, ym, y. As a result, also "2017/01/01", "2017 01 01" or "20170101" are valid date string inputs. Make sure the order of year-month-day is respected. For example, "01/01/2017", "01-01-2017" and "01-2017" are NOT valid. 
+According to the [`lubridate`](https://lubridate.tidyverse.org/) package, these orders are accepted: `ymd_hms`, `ymd`, `ym`, `y`. As a result, also `"2017/01/01"`, `"2017 01 01"` or `"20170101"` are valid date string inputs. Make sure the order of year-month-day is respected. For example, `"01/01/2017"`, `"01-01-2017"` and `"01-2017"` are NOT valid. 
 
 ## How to define the period
 
-The period string provides a flexible way to extract a time period starting (in combination with `from`) or ending (in combination with `to`) at a given moment. Moreover, by using only the `period` as argument, it will cover all cases where one is interesed in *the last x days/months/years/...*.
+The period string provides a flexible way to extract a time period starting (in combination with `from`) or ending (in combination with `to`) at a given moment. Moreover, by using only the `period` as argument, it will cover all cases where one is interested in *the last x days/months/years/...*.
 
 Some examples are:
 
@@ -59,15 +59,15 @@ In general, the period string should be provided as `P#Y#M#DT#H#M#S`, where P de
 * `M` - minutes
 * `S` - seconds
 
-`T` is required if codes about sub-day resolution (day, minutes, hours) is part of the period string. Furthermore, `D` and `W` are mutually exclusive. 
+`T` is required if codes about sub-day resolution (day, minutes, hours) is part of the period string. Furthermore, `D` and `W` are mutually exclusive.
 
 More examples of valid period strings are:
 
 * `P1DT12H` : period of 1 day and 12 hours
 * `P2WT12H` : period of 2 weeks and 12 hours
 * `P1Y6M3DT4H20M30S`: period of 1 year, six months, 3 days, 4 hours, 20 minutes and 30 seconds
 
-## Example applications
+## Examples
 
 ```{r loadlibrary, warning = FALSE}
 library(wateRinfo)

vignettes/wateRinfo.Rmd

@@ -22,7 +22,7 @@ The [waterinfo.be](https://www.waterinfo.be) API uses a system of identifiers, c
 library(wateRinfo)
 ```
 
-## Downloading with known `ts` identifier
+## Download with known `ts` identifier
 
 In case you already know the `ts_id` identifier that defines your time serie, the package provides the function `get_timeseries_tsid()` to download a specific period of the time series. 
 
@@ -44,13 +44,13 @@ As such, knowing the identifier is the most straightforward way of downloading a
 
 ## Search identifier based on variable name
 
-For a number of variables, the [documentation of the waterinfo.be API](https://www.waterinfo.be/download/9f5ee0c9-dafa-46de-958b-7cac46eb8c23?dl=0) provides a direct overview option of all available VMM measurement stations, using the so-called `Timeseriesgroup_id`. For these variables, the package provides the function `get_stations` to download an overview of available measurement stations and the related `ts_id` identifiers. The latter can be used to [download the time series](#Downloading-with-known-ts-identifier). 
+For a number of variables, the [documentation of the waterinfo.be API](https://www.waterinfo.be/download/9f5ee0c9-dafa-46de-958b-7cac46eb8c23?dl=0) provides a direct overview option of all available VMM measurement stations, using the so-called `Timeseriesgroup_id`. For these variables, the package provides the function `get_stations()` to download an overview of available measurement stations and the related `ts_id` identifiers. The latter can be used to [download the time series](#download-with-known-ts-identifier). 
 
 ```{r statofvar}
 get_stations("air_pressure")
 ```
 
-By default, the expected frequency is the 15 min frequency of the time series. However, for some of the variables, multiple frequencies are supported by the API. The package provides a check on the supported variables and frequencies. An overview of the currently supported variables can be requested with the command `supported_variables()` (either in dutch, `nl`, or in english, `en`). Actually, more variables are available with the API (see next section), but for each of these variables the `get_stations` function is supported (i.e. the `Timeseriesgroup_id` is documented by VMM). 
+By default, the expected frequency is the 15 min frequency of the time series. However, for some of the variables, multiple frequencies are supported by the API. The package provides a check on the supported variables and frequencies. An overview of the currently supported variables can be requested with the command `supported_variables()` (either in Dutch, `nl`, or in English, `en`). Actually, more variables are available with the API (see next section), but for each of these variables the `get_stations()` function is supported (i.e. the `Timeseriesgroup_id` is documented by VMM). 
 
 ```{r suppvar}
 supported_variables("en") %>% 
@@ -78,7 +78,7 @@ subset_of_columns <- stations %>% select(ts_id, station_no, station_name,
 knitr::kable(subset_of_columns)
 ```
 
-When interesed in the data of `Herentals_ME`, we can use the corresponding `ts_id` to download the time series of PET with a yearly frequency and make a plot with `ggplot`:
+When interested in the data of `Herentals_ME`, we can use the corresponding `ts_id` to download the time series of PET with a yearly frequency and make a plot with `ggplot`:
 
 ```{r yearly_pet, fig.width = 7}
 pet_yearly <- get_timeseries_tsid("94526042", period = "P10Y")
@@ -96,7 +96,7 @@ pet_yearly %>%
 
 ## Search identifier based on station name
 
-Apart from the option to check the measurement stations that can provide data for a given variable, the package provides the function `get_variables` to get an overview of the available variables for a given station, using the `station_no`. The advantage compared to the `ts_id` is that these `station_no` names are provided by the waterinfo.be website itself when exploring the data. When clicking on a measurement station on the map and checking the time series graph, the `station_no` is provided in the upper left corner in between brackets. 
+In addition to the option to check the measurement stations that can provide data for a given variable, the package provides the function `get_variables()` to get an overview of the available variables for a given station, using the `station_no`. The advantage compared to the `ts_id` is that these `station_no` names are provided by the waterinfo.be website itself when exploring the data. When clicking on a measurement station on the map and checking the time series graph, the `station_no` is provided in the upper left corner in between brackets. 
 
 ![Waterinfo.be example printscreen of time series](./waterinfo_screen.png)
 
@@ -108,7 +108,7 @@ available_variables %>% select(ts_id, station_name, ts_name,
                                parametertype_name)
 ```
 
-The available number of variables depends on the measurement station. The representation is not standardized and depends also from the type of [`meetnet`](http://www.waterinfo.be/default.aspx?path=NL/HIC/Recent_toelichting). Nevertheless, one can derive the required `ts_id` from the list when interpreting the field names. Remark that the datasource can be 4 instead of 1 for specific `meetnetten` (networks). The datasource to use is printed when asking the variables for a station. 
+The available number of variables depends on the measurement station. The representation is not standardized and also depends on the type of [`meetnet`](http://www.waterinfo.be/default.aspx?path=NL/HIC/Recent_toelichting). Nevertheless, one can derive the required `ts_id` from the list when interpreting the field names. Remark that the datasource can be 4 instead of 1 for specific `meetnetten` (networks). The datasource to use is printed when asking the variables for a station. 
 
 In order to download the 10 min time series water level data for the station in Sint-Amands tij/Zeeschelde, the `ts_id = 55419010` can be used in the `get_timeseries_tsid()` function, taking into account the `datasource = 4` (default is 1):