building on tidyfun/tf#2, although the behavior might show up elsewhere.
after downsampling, the original and downsampled data have different domains; if you wanted to concatenate these in a single vector, you'd get an error:
library(tidyfun)
#> Registered S3 method overwritten by 'GGally':
#> method from
#> +.gg ggplot2
#>
#> Attaching package: 'tidyfun'
#> The following objects are masked from 'package:stats':
#>
#> sd, var
library(tidyverse)
#> Warning: package 'tidyr' was built under R version 4.0.5
#> Warning: package 'dplyr' was built under R version 4.0.5
data(chf_df)
chf_hour_df =
chf_df %>%
filter(day == "Mon") %>%
select(id, activity) %>%
mutate(
act_hour = tf_smooth(activity, method = "rollmean", k = 60, align = "right"),
act_hour = tfd(act_hour, arg = seq(60, 1440, by = 60))) %>%
select(-activity)
#> setting fill = 'extend' for start/end values.
c(chf_df$activity[1], chf_hour_df$act_hour[1])
#> Error in vec_ptype2_tfd_tfd(x, y, ...): all(compatible[, "domain"]) is not TRUE
this is the intended behavior, and the use case is maybe not that compelling -- it's not exactly this example, but being able to show full and downsampled data on the same plot would be helpful.
a few questions:
is an error here better than a warning?
what's the preferred workaround? changing the arg in tfd ...?
should we allow direct editing of the domain through tf_domain() <-?
building on tidyfun/tf#2, although the behavior might show up elsewhere.
after downsampling, the original and downsampled data have different domains; if you wanted to concatenate these in a single vector, you'd get an error:
Created on 2022-05-09 by the reprex package (v0.3.0)
this is the intended behavior, and the use case is maybe not that compelling -- it's not exactly this example, but being able to show full and downsampled data on the same plot would be helpful.
a few questions:
arg
intfd
...?tf_domain() <-
?