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Tidy Temporal Data Frames and Tools

Results 38 tsibble issues
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Details When a data frame is passed to as_tsibble() with a column named index the object conversion fails. --- Consider the following example, where the grouping variable is stored as...

Loading tsibble package is causing a lot of functions to fail with error "Error in make_ansi_style(x[["color"]]) : Unknown style specification: br_magenta" eg: ![image](https://user-images.githubusercontent.com/10901832/183830526-cd7ec8f4-af5d-4c1b-9444-5a4e9ba1a8de.png) This does not only happen with this...

``` library(tsibble) tibble(value=1:12,key = "all", time = make_yearmonth(2000,1:12)) %>% as_tsibble(index = time, key = key) %>% as.ts #> Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec...

HI, Trying to use this tool. I'm able to get the tsibble object from an irregular timing dataframe with: *i have no key ```r weather_x % as_tsibble( index = date_n_time,...

**_R latest, Win 7, fable-stuff latest._** Since several months I can't use autoplot() anymore. This is what happens... ``` suppressPackageStartupMessages(library(tidyverse)) suppressPackageStartupMessages(library(fabletools)) suppressPackageStartupMessages(library(tsibble)) suppressPackageStartupMessages(library(feasts)) sourceTsibble% summarise(Temperature=sum(Temperature)) %>% tsibble::fill_gaps(Temperature = 0) %>%...

Yearquarter strings usually depend of locale. That is, in my language (French), the dates would often be in in the "2020T4" format (T for _trimestre_) Could it be possible to...

Thank you for your great work with the {tsibble} package. There appears to be an issue where loading the {tsibble} package (or running some functions from it) causes an error...

Having issues with the `.full` argument of the `*_gaps()` family of functions. I can't pass `.full = F` or `.full = T` but instead have to specify `.full = FALSE`...

When running the following code: library(dplyr) library(tsibble) toto

Consider the example from the tsibble `index_by` [reference](https://tsibble.tidyverts.org/reference/index-by.html) and it's modified version: ```R tourism %>% index_by(Year = ~ year(.)) %>% group_by(Region, State) %>% summarise(Total = sum(Trips)) # A tsibble: 1,520...