Autoplot

[rogers1000]

Describe the bug Autoplot for points shows 14 times how many simulations there is.

Reprex WIP <- sleeper_connect(2021,654931383445176320) WIP_sim <- ff_simulate(conn = WIP, n_seasons = 1000, n_weeks = 14) autoplot(WIP_sim, type= "points")

`WIP <- sleeper_connect(2021,654931383445176320)
WIP_sim <- ff_simulate(conn = WIP, n_seasons = 1000, n_weeks = 14) 
autoplot(WIP_sim, type= "points")`

Expected behavior Chart says 14000 seasons simulated instead of 1000.

Session information Please copy the output of sessionInfo() into the box below.

R version 4.0.3 (2020-10-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)

Matrix products: default

locale:
[1] LC_COLLATE=English_United Kingdom.1252  LC_CTYPE=English_United Kingdom.1252    LC_MONETARY=English_United Kingdom.1252 LC_NUMERIC=C                            LC_TIME=English_United Kingdom.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] ggridges_0.5.3    ffscrapr_1.4.5    ffsimulator_1.0.0 nflfastR_4.2.0    ggimage_0.2.9     ggrepel_0.9.1     forcats_0.5.1     stringr_1.4.0     dplyr_1.0.7       purrr_0.3.4       readr_1.4.0      
[12] tidyr_1.1.3       tibble_3.1.2      ggplot2_3.3.3     tidyverse_1.3.1  

loaded via a namespace (and not attached):
 [1] nlme_3.1-149        fs_1.5.0            fastrmodels_1.0.1   lubridate_1.7.10    httr_1.4.2          tools_4.0.3         backports_1.2.0     utf8_1.1.4          R6_2.5.0            DBI_1.1.0          
[11] mgcv_1.8-33         colorspace_2.0-0    withr_2.3.0         tidyselect_1.1.0    curl_4.3            compiler_4.0.3      progressr_0.6.0     cli_3.0.1           rvest_1.0.0         xml2_1.3.2         
[21] labeling_0.4.2      slam_0.1-48         scales_1.1.1        checkmate_2.0.0     digest_0.6.27       pkgconfig_2.0.3     parallelly_1.23.0   dbplyr_2.1.1        fastmap_1.1.0       rlang_0.4.11       
[31] readxl_1.3.1        rstudioapi_0.13     gridGraphics_0.5-0  generics_0.1.0      farver_2.0.3        jsonlite_1.7.2      magrittr_2.0.1      ggplotify_0.0.5     Matrix_1.2-18       Rcpp_1.0.5         
[41] munsell_0.5.0       fansi_0.4.1         lifecycle_1.0.0     furrr_0.2.2         stringi_1.5.3       Rglpk_0.6-4         snakecase_0.11.0    plyr_1.8.6          grid_4.0.3          parallel_4.0.3     
[51] listenv_0.8.0       crayon_1.4.1        lattice_0.20-41     haven_2.3.1         splines_4.0.3       hms_1.1.0           magick_2.5.2        pillar_1.6.1        ratelimitr_0.4.1    xgboost_1.2.0.1    
[61] codetools_0.2-16    reprex_2.0.0        glue_1.4.2          ggfun_0.0.3         data.table_1.13.2   BiocManager_1.30.10 modelr_0.1.8        vctrs_0.3.8         cellranger_1.1.0    gtable_0.3.0       
[71] future_1.21.0       assertthat_0.2.1    cachem_1.0.5        xfun_0.19           janitor_2.0.1       broom_0.7.8         rvcheck_0.1.8       tinytex_0.27        memoise_2.0.0       globals_0.14.0     
[81] ellipsis_0.3.2   

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Additional context Add any other context about the problem here.

[tanho63]

This is correct haha, it’s 14K simulated weeks

[rogers1000]

This is correct haha, it’s 14K simulated weeks

That would make sense. Sorry, saw the big number and went this seems wrong. Doesn't help I'm looking at seasons data most of the time.