Running examples in 'timetk-Ex.R' failed
The error most likely occurred in:

> ### Name: future_frame
> ### Title: Make future time series from existing
> ### Aliases: future_frame
> 
> ### ** Examples
> 
> library(tidyverse)
-- Attaching packages --------------------------------------- tidyverse 1.3.0 --
v ggplot2 3.3.3     v purrr   0.3.4
v tibble  3.0.5     v dplyr   1.0.3
v tidyr   1.1.2     v stringr 1.4.0
v readr   1.4.0     v forcats 0.5.0
-- Conflicts ------------------------------------------ tidyverse_conflicts() --
x dplyr::filter() masks stats::filter()
x dplyr::lag()    masks stats::lag()
> library(tidyquant)
Loading required package: lubridate

Attaching package: 'lubridate'

The following objects are masked from 'package:base':

    date, intersect, setdiff, union

Loading required package: PerformanceAnalytics
Loading required package: xts
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric


Attaching package: 'xts'

The following objects are masked from 'package:dplyr':

    first, last


Attaching package: 'PerformanceAnalytics'

The following object is masked from 'package:graphics':

    legend

Loading required package: quantmod
Loading required package: TTR
== Need to Learn tidyquant? ====================================================
Business Science offers a 1-hour course - Learning Lab #9: Performance Analysis & Portfolio Optimization with tidyquant!
</> Learn more at: https://university.business-science.io/p/learning-labs-pro </>
> library(timetk)
> 
> # 30-min interval data
> taylor_30_min %>%
+     future_frame(date, .length_out = "1 week")
# A tibble: 336 x 1
   date               
   <dttm>             
 1 2000-08-28 00:00:00
 2 2000-08-28 00:30:00
 3 2000-08-28 01:00:00
 4 2000-08-28 01:30:00
 5 2000-08-28 02:00:00
 6 2000-08-28 02:30:00
 7 2000-08-28 03:00:00
 8 2000-08-28 03:30:00
 9 2000-08-28 04:00:00
10 2000-08-28 04:30:00
# ... with 326 more rows
> 
> # Daily Data (Grouped)
> m4_daily %>%
+     group_by(id) %>%
+     future_frame(date, .length_out = "6 weeks")
# A tibble: 168 x 2
# Groups:   id [4]
   id    date      
   <fct> <date>    
 1 D10   2016-05-07
 2 D10   2016-05-08
 3 D10   2016-05-09
 4 D10   2016-05-10
 5 D10   2016-05-11
 6 D10   2016-05-12
 7 D10   2016-05-13
 8 D10   2016-05-14
 9 D10   2016-05-15
10 D10   2016-05-16
# ... with 158 more rows
> 
> # Specify how many observations to project into the future
> m4_daily %>%
+     group_by(id) %>%
+     future_frame(date, .length_out = 100)
# A tibble: 400 x 2
# Groups:   id [4]
   id    date      
   <fct> <date>    
 1 D10   2016-05-07
 2 D10   2016-05-08
 3 D10   2016-05-09
 4 D10   2016-05-10
 5 D10   2016-05-11
 6 D10   2016-05-12
 7 D10   2016-05-13
 8 D10   2016-05-14
 9 D10   2016-05-15
10 D10   2016-05-16
# ... with 390 more rows
> 
> # Bind with Original Data
> m4_daily %>%
+     group_by(id) %>%
+     future_frame(date, .length_out = 100, .bind_data = TRUE)
# A tibble: 10,143 x 3
# Groups:   id [4]
   id    date       value
   <fct> <date>     <dbl>
 1 D10   2014-07-03 2076.
 2 D10   2014-07-04 2073.
 3 D10   2014-07-05 2049.
 4 D10   2014-07-06 2049.
 5 D10   2014-07-07 2006.
 6 D10   2014-07-08 2018.
 7 D10   2014-07-09 2019.
 8 D10   2014-07-10 2007.
 9 D10   2014-07-11 2010 
10 D10   2014-07-12 2002.
# ... with 10,133 more rows
> 
> # Remove Non-Working Days (Weekends & Holidays)
> holidays <- tk_make_holiday_sequence(
+     start_date = "2017-01-01",
+     end_date   = "2017-12-31",
+     calendar   = "NYSE")
> 
> FANG %>%
+     group_by(symbol) %>%
+     future_frame(.length_out       = "1 year",
+                  .inspect_weekdays = TRUE,
+                  .skip_values      = holidays)
.date_var is missing. Using: date
Error in is_quosure(x) : argument "x" is missing, with no default
Calls: %>% ... switch_expr -> quo_squash_impl -> switch_expr -> is_quosure
Execution halted