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informative error message from google API if bad request, fixed some …
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…unnest cols stuff
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fawda123 committed Nov 12, 2019
1 parent bffb6fa commit 4472d0d
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4 changes: 2 additions & 2 deletions R/compile_activity_streams.R
Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,7 @@ compile_activity_streams <- function(streams, id = NULL){
# Expand data column to columns removing one layer of lists
tmp.wide <- tmp %>%
tidyr::spread(data = ., key = type, value = data) %>%
tidyr::unnest()
tidyr::unnest(cols = c(altitude, distance, grade_smooth, latlng, moving, time, velocity_smooth))

# Or:
# tmp.wide <- x %>% map_dfc(~ tibble(data = pluck(.x, 'data')) %>% set_names(pluck(.x, 'type')))
Expand All @@ -53,7 +53,7 @@ compile_activity_streams <- function(streams, id = NULL){

# Remove singletons (list-columns with 1-long lists)
df.wide <- tmp.wide %>%
tidyr::unnest(.preserve = latlng)
tidyr::unnest(cols = c(altitude, distance, grade_smooth, moving, time, velocity_smooth))

# Assign names to latlng field
f.latlng.to.df <- function(x) {
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8 changes: 7 additions & 1 deletion R/get_LatLon.R
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,13 @@
#' @export
get_latlon <- function(polyline, key){

out <- googleway::google_elevation(polyline = polyline, key = key) %>%
out <- googleway::google_elevation(polyline = polyline, key = key)

# sanity check
if('error_message' %in% names(out))
stop(out$error_message)

out <- out %>%
.[['results']] %>%
dplyr::mutate(
lat = location$lat,
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80 changes: 48 additions & 32 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -63,29 +63,31 @@ athl_fun(2837007, trace = FALSE)
##
## $`2837007`$monthly
## month miles hours elev_gain
## 1 2019-02-01 247.53005 18 679
## 2 2019-03-01 343.69594 24 1039
## 3 2019-04-01 332.47584 23 990
## 4 2019-05-01 351.16172 25 1266
## 5 2019-06-01 283.40678 21 1132
## 6 2019-07-01 273.54686 20 893
## 7 2019-08-01 24.84863 1 75
## 1 2019-05-01 351.16172 25 1266
## 2 2019-06-01 283.40678 21 1132
## 3 2019-07-01 273.54686 20 893
## 4 2019-08-01 342.39727 25 1126
## 5 2019-09-01 284.57744 20 1041
## 6 2019-10-01 48.97586 7 773
## 7 2019-11-01 56.55658 4 147
##
## $`2837007`$recent
## id name type startDateLocal distance elevation
## 1 2584096258 Morning Run run 2019-08-01 3.2 72
## 2 2583013926 Afternoon Ride ride 2019-08-01 10.9 126
## 3 2581426804 Morning Ride ride 2019-07-31 10.6 51
## 1 2859540960 Morning Ride ride 2019-11-11 3.5 18
## 2 2858493438 Afternoon Ride ride 2019-11-11 36.2 339
## 3 2858170842 Morning Run run 2019-11-08 3.2 47
## movingTime
## 1 25:52
## 2 41:55
## 3 40:06
## 1 16:29
## 2 2:21:55
## 3 23:36
##
## $`2837007`$achievements
## description timeago
## 1 2nd fastest time on Park Push 2019-07-27 00:41:33
## 2 2nd fastest time on Bryan bridge 2019-07-24 00:44:12
## 3 2nd fastest time on Pitchin' A Tent 2019-07-18 00:42:44
## description timeago
## 1 2nd best estimated 1 mile effort 2019-11-09 12:01:09
## 2 3rd best estimated 1k effort 2019-11-09 12:01:09
## 3 3rd best estimated 1/2 mile effort 2019-11-09 12:01:09
## 4 3rd best estimated 400m effort 2019-11-09 12:01:09
## 5 2nd fastest time on 21-9st Sprint 2019-11-12 12:10:31

### API functions (token)

Expand Down Expand Up @@ -168,7 +170,7 @@ head(myinfo)
## [1] "beck_marcus"
##
## $resource_state
## [1] 3
## [1] 2
##
## $firstname
## [1] "Marcus"
Expand Down Expand Up @@ -246,23 +248,37 @@ Use `get_activity_streams` for detailed info about activites:
``` r
# get streams for the first activity in my_acts
strms_data <- get_activity_streams(my_acts, stoken, acts = 1)
```

## Warning: `cols` is now required.
## Please use `cols = c(altitude, distance, grade_smooth, latlng, moving, time, velocity_smooth)`

## Warning: The `.preserve` argument of `unnest()` is deprecated as of tidyr 1.0.0.
## All list-columns are now preserved
## This warning is displayed once per session.
## Call `lifecycle::last_warnings()` to see where this warning was generated.

## Warning: `cols` is now required.
## Please use `cols = c(altitude, distance, grade_smooth, moving, time, velocity_smooth)`

``` r
head(strms_data)
```

## altitude distance grade_smooth moving time velocity_smooth lat
## 1 34.6 0.0000 -1.4 FALSE 0 0.00 33.72592
## 2 34.6 0.0036 -2.0 TRUE 7 1.80 33.72594
## 3 34.5 0.0074 -1.5 TRUE 12 2.16 33.72591
## 4 34.3 0.0149 -0.9 TRUE 14 5.76 33.72584
## 5 34.3 0.0204 -0.4 TRUE 15 7.56 33.72580
## 6 34.4 0.0259 0.9 TRUE 16 9.00 33.72576
## lng id
## 1 -117.7833 2420187776
## 2 -117.7834 2420187776
## 3 -117.7834 2420187776
## 4 -117.7834 2420187776
## 5 -117.7833 2420187776
## 6 -117.7833 2420187776
## altitude distance grade_smooth lat lng moving time
## 1 34.6 0.0000 -1.4 33.72592 -117.7833 FALSE 0
## 2 34.6 0.0036 -2.0 33.72594 -117.7834 TRUE 7
## 3 34.5 0.0074 -1.5 33.72591 -117.7834 TRUE 12
## 4 34.3 0.0149 -0.9 33.72584 -117.7834 TRUE 14
## 5 34.3 0.0204 -0.4 33.72580 -117.7833 TRUE 15
## 6 34.4 0.0259 0.9 33.72576 -117.7833 TRUE 16
## velocity_smooth id
## 1 0.00 2420187776
## 2 1.80 2420187776
## 3 2.16 2420187776
## 4 5.76 2420187776
## 5 7.56 2420187776
## 6 9.00 2420187776

Stream data can be plotted using any of the plotting functions.

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