Issue
I am trying to produce forecasts using regression models with ARIMA errors, but they always fail to produce anything other than a NULL model; in contrast, TSLM models work just fine on the same data.
Looking for an answer, I found this question on applying models to multiple time-series and tried to reproduce Rob Hyndman's example (copy-paste the code in rstudio cloud).
It didn't work (details below).
What's wrong?
Code
library(tidyverse)
library(tsibble)
library(fable)
library(lubridate)
set.seed(1)
ar1 <- arima.sim(model=list(ar=.6), n=30)
ma1 <- arima.sim(model=list(ma=0.4), n=30)
Date <- ymd(paste0("2019-01-",1:30))
tb <- bind_cols(Date=Date, ar1=ar1, ma1=ma1) %>%
gather("Series", "value", -Date) %>%
as_tsibble(index=Date, key=Series)
tb
tb_all <- tb %>% model(arima = ARIMA(value))
tb_all
Output
# A mable: 2 x 2
# Key: Series [2]
Series arima
<chr> <model>
1 ar1 <NULL model>
2 ma1 <NULL model>
Session Info (on rstudio cloud)
R version 4.0.0 (2020-04-24)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 16.04.6 LTS
Matrix products: default
BLAS: /usr/lib/atlas-base/atlas/libblas.so.3.0
LAPACK: /usr/lib/atlas-base/atlas/liblapack.so.3.0
locale:
[1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8
[4] LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8
[7] LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] lubridate_1.7.8 gridtext_0.1.1 ggtext_0.1.0 forcats_0.5.0 stringr_1.4.0
[6] dplyr_0.8.5 purrr_0.3.4 tidyr_1.1.0 tibble_3.0.1 ggplot2_3.3.0
[11] tidyverse_1.3.0 patchwork_1.0.0 zoo_1.8-8 tsibble_0.8.6 feasts_0.1.3
[16] fable_0.2.0 fabletools_0.1.3 janitor_2.0.1 eurostat_3.6.1 scales_1.1.1
[21] readr_1.3.1 here_0.1 devtools_2.3.0 usethis_1.6.1 pacman_0.5.1
loaded via a namespace (and not attached):
[1] nlme_3.1-147 fs_1.4.1 sf_0.9-3 RColorBrewer_1.1-2
[5] httr_1.4.1 rprojroot_1.3-2 tools_4.0.0 backports_1.1.7
[9] utf8_1.1.4 R6_2.4.1 KernSmooth_2.23-16 DBI_1.1.0
[13] colorspace_1.4-1 withr_2.2.0 sp_1.4-2 tidyselect_1.1.0
[17] prettyunits_1.1.1 processx_3.4.2 curl_4.3 compiler_4.0.0
[21] rvest_0.3.5 cli_2.0.2 xml2_1.3.2 desc_1.2.0
[25] classInt_0.4-3 callr_3.4.3 digest_0.6.25 pkgconfig_2.0.3
[29] bibtex_0.4.2.2 sessioninfo_1.1.1 dbplyr_1.4.4 rlang_0.4.6
[33] readxl_1.3.1 rstudioapi_0.11 generics_0.0.2 jsonlite_1.6.1
[37] magrittr_1.5 Rcpp_1.0.4.6 munsell_0.5.0 fansi_0.4.1
[41] RefManageR_1.2.12 lifecycle_0.2.0 stringi_1.4.6 snakecase_0.11.0
[45] pkgbuild_1.0.8 plyr_1.8.6 grid_4.0.0 blob_1.2.1
[49] slider_0.1.3 crayon_1.3.4 lattice_0.20-41 haven_2.3.0
[53] hms_0.5.3 knitr_1.28 anytime_0.3.7 ps_1.3.3
[57] pillar_1.4.4 pkgload_1.0.2 reprex_0.3.0 glue_1.4.1
[61] remotes_2.1.1 modelr_0.1.8 vctrs_0.3.0 cellranger_1.1.0
[65] testthat_2.3.2 gtable_0.3.0 assertthat_0.2.1 xfun_0.14
[69] broom_0.5.6 countrycode_1.2.0 e1071_1.7-3 class_7.3-16
[73] warp_0.1.0 memoise_1.1.0 units_0.6-6 ellipsis_0.3.1
manually installed package urca
Related
Using the data available on FactoMineR package: (http://factominer.free.fr/book/orange.csv), I created a PCA and after a PCA with supplementary information. The latter step when I used the function dimdesc() I obtained an error that surfing through internet I was not able to find a way to solve it.
I post here if someone could help me. I attach below my code. Thanks on advance for your comments/hints.
data_orange<-read.delim("orange.csv", header = T, sep = ";")
data_orange_subset <- data_orange[,1:8]
res.pca<-PCA(data_orange_subset, graph = F)
dimdesc(res.pca,axes=1:2)
--> This works
When considering supplementary information in the PCA:
data_orange_2 <- data_orange[,-c(16,17)]
res.pca.all <- PCA(data_orange_2, graph = F,
quanti.sup = 9:15,
quali.sup = 1)
dimdesc(res.pca.all, axes = 1:2)
Error in if (sum(tabF[, 2] <= proba) > 0) resF <- tabF[tabF[, 2] <= proba, :
missing value where TRUE/FALSE needed
I've checked for NA values in dataframe but it is not the case.
SessionInfo()
R version 4.1.2 (2021-11-01)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Linux Mint 19.1
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1
locale:
[1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C LC_TIME=en_GB.UTF-8
[4] LC_COLLATE=en_GB.UTF-8 LC_MONETARY=es_ES.UTF-8 LC_MESSAGES=en_GB.UTF-8
[7] LC_PAPER=es_ES.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=es_ES.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] factoextra_1.0.7.999 ggplot2_3.3.6 FactoMineR_2.4
loaded via a namespace (and not attached):
[1] ggrepel_0.9.1 Rcpp_1.0.8.3 lattice_0.20-45 tidyr_1.2.0
[5] assertthat_0.2.1 digest_0.6.29 utf8_1.2.2 R6_2.5.1
[9] backports_1.4.1 evaluate_0.15 pillar_1.7.0 rlang_1.0.3
[13] rstudioapi_0.13 minqa_1.2.4 car_3.1-0 nloptr_2.0.3
[17] Matrix_1.4-1 DT_0.23 rmarkdown_2.13 labeling_0.4.2
[21] splines_4.1.2 lme4_1.1-29 htmlwidgets_1.5.4 munsell_0.5.0
[25] broom_0.8.0 compiler_4.1.2 xfun_0.31 pkgconfig_2.0.3
[29] faraway_1.0.7 htmltools_0.5.2 flashClust_1.01-2 tidyselect_1.1.2
[33] tibble_3.1.7 gridExtra_2.3 dendextend_1.15.2 viridisLite_0.4.0
[37] fansi_1.0.3 crayon_1.5.1 dplyr_1.0.9 withr_2.5.0
[41] ggpubr_0.4.0 MASS_7.3-56 leaps_3.1 grid_4.1.2
[45] nlme_3.1-157 gtable_0.3.0 lifecycle_1.0.1 DBI_1.1.2
[49] magrittr_2.0.3 scales_1.2.0 cli_3.3.0 carData_3.0-5
[53] farver_2.1.0 ggsignif_0.6.3 viridis_0.6.2 scatterplot3d_0.3-41
[57] ellipsis_0.3.2 generics_0.1.2 vctrs_0.4.1 boot_1.3-28
[61] ggsci_2.9 tools_4.1.2 glue_1.6.2 purrr_0.3.4
[65] abind_1.4-5 fastmap_1.1.0 yaml_2.3.5 colorspace_2.0-3
[69] cluster_2.1.3 rstatix_0.7.0 knitr_1.39
I have the following table using kableExtra in R
library(tidyverse)
library(kableExtra)
sr <- c('Positive (+)','Positive (+)','Negative (-)','Positive (+)')
lr <- c('Positive (+)','Neutral','Negative (-)','Positive (+)')
d <- c('GDP Response to Positive','','CPI Response to Positive','')
s <- c('AS Shock','AD Shock','AS Shock','AD Shock')
data.frame(d,s,sr,lr) %>%
kable(col.names = c('','','Short Run Effect','Long Run Effect'),'html') %>%
kable_styling() %>%
row_spec(0, col = 'white', background = '#7c3042') %>%
footnote(general="<b>These signs represent prior expectations for the short and long run dynamics
of variable responses to respective shocks, based on a conventional AS-AD framework<b>", escape = FALSE) %>%
column_spec(1:4,bold = T) %>%
save_kable(file = "table.png", density = 700)
For some odd reason, the table is slightly cropped off at the top when I save it. Any way to overcome this?
EDIT
Here is my session info
R version 4.0.3 (2020-10-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)
Matrix products: default
locale:
[1] LC_COLLATE=English_Namibia.1252 LC_CTYPE=English_Namibia.1252 LC_MONETARY=English_Namibia.1252
[4] LC_NUMERIC=C LC_TIME=English_Namibia.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] magick_2.6.0 hrbrthemes_0.8.0 lubridate_1.7.9.2 readxl_1.3.1 tbl2xts_1.0.4 feasts_0.1.6
[7] fabletools_0.3.0 tsbox_0.2.1 tsibble_0.9.3 Rcpp_1.0.6 kableExtra_1.3.1 forcats_0.5.0
[13] stringr_1.4.0 dplyr_1.0.3 purrr_0.3.4 readr_1.4.0 tidyr_1.1.2 tibble_3.0.5
[19] ggplot2_3.3.3 tidyverse_1.3.0
loaded via a namespace (and not attached):
[1] nlme_3.1-151 fs_1.5.0 xts_0.12.1 webshot_0.5.2
[5] httr_1.4.2 tools_4.0.3 backports_1.2.1 R6_2.5.0
[9] DBI_1.1.1 colorspace_2.0-0 withr_2.4.0 tidyselect_1.1.0
[13] processx_3.4.5 extrafontdb_1.0 curl_4.3 compiler_4.0.3
[17] cli_2.2.0 rvest_0.3.6 pacman_0.5.1 xml2_1.3.2
[21] sandwich_3.0-0 tseries_0.10-48 scales_1.1.1 lmtest_0.9-37
[25] quadprog_1.5-8 callr_3.5.1 systemfonts_0.3.2 digest_0.6.27
[29] foreign_0.8-81 rmarkdown_2.6 rio_0.5.16 pkgconfig_2.0.3
[33] htmltools_0.5.0 extrafont_0.17 dbplyr_2.0.0 highr_0.8
[37] rlang_0.4.9 TTR_0.24.2 rstudioapi_0.13 quantmod_0.4.18
[41] farver_2.0.3 generics_0.1.0 zoo_1.8-8 jsonlite_1.7.2
[45] distributional_0.2.1 zip_2.1.1 car_3.0-10 magrittr_2.0.1
[49] munsell_0.5.0 fansi_0.4.2 gdtools_0.2.3 abind_1.4-5
[53] lifecycle_0.2.0 stringi_1.5.3 carData_3.0-4 PerformanceAnalytics_2.0.4
[57] MASS_7.3-53 plyr_1.8.6 grid_4.0.3 parallel_4.0.3
[61] strucchange_1.5-2 crayon_1.3.4 lattice_0.20-41 haven_2.3.1
[65] hms_1.0.0 knitr_1.30 anytime_0.3.9 ps_1.5.0
[69] pillar_1.4.7 ggpubr_0.4.0 ggsignif_0.6.0 reshape2_1.4.4
[73] codetools_0.2-18 reprex_0.3.0 urca_1.3-0 glue_1.4.2
[77] evaluate_0.14 vars_1.5-3 data.table_1.13.6 modelr_0.1.8
[81] vctrs_0.3.6 foreach_1.5.1 Rttf2pt1_1.3.8 cellranger_1.1.0
[85] gtable_0.3.0 PortfolioAnalytics_1.1.0 assertthat_0.2.1 xfun_0.20
[89] openxlsx_4.2.3 broom_0.7.3 rstatix_0.6.0 viridisLite_0.3.0
[93] iterators_1.0.13 ellipsis_0.3.1
I got error editable from DT package
Error in if (editable) params$editable = editable :
argument is not interpretable as logical
In addition: Warning message:
In if (editable) params$editable = editable :
the condition has length > 1 and only the first element will be used
library(DT)
DT::datatable(head(iris), editable = list(
target = 'row', disable = list(columns = c(1, 3, 4)))
)
This is my R sessionInfo()
> sessionInfo()
R version 3.5.3 (2019-03-11)
Platform: x86_64-redhat-linux-gnu (64-bit)
Running under: Red Hat Enterprise Linux
Matrix products: default
BLAS: /usr/lib64/libblas.so.3.4.2
LAPACK: /usr/lib64/liblapack.so.3.4.2
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] DT_0.5 readr_1.3.1 tidyr_0.8.3 tibble_2.1.1
[5] tidyverse_1.2.1 fs_1.2.7 RColorBrewer_1.1-2 rvg_0.2.0
[9] magrittr_1.5 officer_0.3.3 esquisse_0.3.0.940 scales_1.0.0
[13] colourpicker_1.0 shinyjqui_0.3.2 plotly_4.9.0 ggplot2_3.1.1
[17] forcats_0.4.0 arsenal_3.0.0 waiter_0.0.1 shinydashboardPlus_0.7.0
[21] future_1.12.0 data.table_1.12.2 shinyFiles_0.7.2 stringi_1.4.3
[25] shinyjs_1.0 shinyWidgets_0.4.8 purrr_0.3.2 rintrojs_0.2.0
[29] shinyBS_0.61 shinyalert_1.0 shinydashboard_0.7.1 stringr_1.4.0
[33] lubridate_1.7.4 dplyr_0.8.0.1 haven_2.1.0 shiny_1.3.1
loaded via a namespace (and not attached):
[1] nlme_3.1-137 httr_1.4.0 tools_3.5.3 backports_1.1.4 R6_2.4.0 lazyeval_0.2.2
[7] colorspace_1.4-1 withr_2.1.2 tidyselect_0.2.5 compiler_3.5.3 cli_1.1.0 rvest_0.3.3
[13] xml2_1.2.0 digest_0.6.18 rmarkdown_1.12 base64enc_0.1-3 pkgconfig_2.0.2 htmltools_0.3.6
[19] htmlwidgets_1.3 rlang_0.3.4 readxl_1.3.1 rstudioapi_0.10 generics_0.0.2 jsonlite_1.6
[25] crosstalk_1.0.0 zip_2.0.1 Rcpp_1.0.1 munsell_0.5.0 gdtools_0.1.8 yaml_2.2.0
[31] plyr_1.8.4 grid_3.5.3 parallel_3.5.3 listenv_0.7.0 promises_1.0.1 crayon_1.3.4
[37] miniUI_0.1.1.1 lattice_0.20-38 hms_0.4.2 knitr_1.22 pillar_1.3.1 uuid_0.1-2
[43] codetools_0.2-16 glue_1.3.1 packrat_0.5.0 evaluate_0.13 modelr_0.1.4 httpuv_1.5.1
[49] testthat_2.0.1 cellranger_1.1.0 gtable_0.3.0 assertthat_0.2.1 xfun_0.6 mime_0.6
[55] xtable_1.8-4 broom_0.5.2 later_0.8.0 rsconnect_0.8.13 viridisLite_0.3.0 tinytex_0.12
[61] globals_0.12.4 ellipsis_0.1.0
I recently installed a daily build version of R Studio, 1.4.671. Since that installation, anything that runs in the viewer (e.g. gt or lavaanPlot) gives me an error like this:
/session/viewhtml528813ce72d/index.html?viewer_pane=1&capabilities=1&host=http%3A%2F%2F127.0.0.1%3A27742 not found
I have fully uninstalled 1.4.671, restarted my computer, and reinstalled the version that worked this morning, 1.3.1056. Not sure
This is becoming quite a problem because I am not able to easily see any model coefficients that I am currently working on (in a neat way, they are messy in the console).
I have also reset RStudio's state following https://support.rstudio.com/hc/en-us/articles/200534577-Resetting-RStudio-s-State and removed my .Renviron file.
Update: if the error shows but I choose to export as HTML, the HTML file works.
Update2: both running Shiny and knitting an RMarkdown document to HTML works. It's just displaying something inside RStudio's viewer that is causing issues.
R version 4.0.0 (2020-04-24)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 17763)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
[1] gt_0.2.1 patchwork_1.0.0 waffle_1.0.1
[4] plotly_4.9.2.1 ggstance_0.3.4 ggridges_0.5.2
[7] foreign_0.8-78 gghighlight_0.3.0 gridExtra_2.3
[10] readxl_1.3.1 emmeans_1.4.7 broom_0.5.6
[13] fastDummies_1.6.1 modelsummary_0.5.0 tables_0.9.3
[16] gtsummary_1.3.2 janitor_2.0.1 haven_2.3.1
[19] forcats_0.5.0 stringr_1.4.0 dplyr_1.0.0
[22] purrr_0.3.4 readr_1.3.1 tidyr_1.1.0
[25] tibble_3.0.1 ggplot2_3.3.1 tidyverse_1.3.0
loaded via a namespace (and not attached):
[1] nlme_3.1-147 fs_1.4.1 lubridate_1.7.8
[4] RColorBrewer_1.1-2 httr_1.4.1 tools_4.0.0
[7] backports_1.1.7 DT_0.13 R6_2.4.1
[10] DBI_1.1.0 lazyeval_0.2.2 colorspace_1.4-1
[13] withr_2.2.0 tidyselect_1.1.0 extrafontdb_1.0
[16] curl_4.3 compiler_4.0.0 cli_2.0.2
[19] rvest_0.3.5 xml2_1.3.2 sandwich_2.5-1
[22] labeling_0.3 sass_0.2.0 scales_1.1.1
[25] checkmate_2.0.0 mvtnorm_1.1-0 commonmark_1.7
[28] digest_0.6.25 rmarkdown_2.2 pkgconfig_2.0.3
[31] htmltools_0.5.0 extrafont_0.17 dbplyr_1.4.4
[34] htmlwidgets_1.5.1 rlang_0.4.6 rstudioapi_0.11
[37] farver_2.0.3 generics_0.0.2 zoo_1.8-8
[40] jsonlite_1.6.1 magrittr_1.5 Matrix_1.2-18
[43] Rcpp_1.0.4.6 munsell_0.5.0 fansi_0.4.1
[46] lifecycle_0.2.0 stringi_1.4.6 multcomp_1.4-13
[49] yaml_2.2.1 snakecase_0.11.0 MASS_7.3-51.5
[52] plyr_1.8.6 grid_4.0.0 blob_1.2.1
[55] crayon_1.3.4 lattice_0.20-41 splines_4.0.0
[58] hms_0.5.3 knitr_1.28 pillar_1.4.4
[61] estimability_1.3 codetools_0.2-16 reprex_0.3.0
[64] glue_1.4.1 packrat_0.5.0 evaluate_0.14
[67] data.table_1.12.8 modelr_0.1.8 vctrs_0.3.0
[70] Rttf2pt1_1.3.8 cellranger_1.1.0 gtable_0.3.0
[73] assertthat_0.2.1 xfun_0.14 xtable_1.8-4
[76] coda_0.19-3 survival_3.1-12 viridisLite_0.3.0
[79] TH.data_1.0-10 ellipsis_0.3.1
>
I'm trying to use the waterfall R package to create a waterfall chart, like this, per the example at this link:
category <- c("Sales", "Services", "Fixed Costs",
"Variable Costs", "Taxes")
amount <- c(101000, 52000, -23000, -15000, -10000)
income <- data.frame(category, amount)
library(ggplot2)
library(waterfalls)
waterfall(income)
But getting this error:
Error in unit(rep(just$hjust, n), "npc") : 'x' and 'units' must have length > 0
How can I make it work?
This is the output from my sessionInfo()
R version 3.6.0 (2019-04-26)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS Mojave 10.14.5
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] waterfalls_0.1.2 DBI_1.0.0 ggpubr_0.2 patchwork_0.0.1 forcats_0.4.0 stringr_1.4.0 dplyr_0.8.0.1 purrr_0.3.2
[10] readr_1.3.1 tidyr_0.8.3 tibble_2.1.1 ggplot2_3.1.1 tidyverse_1.2.1 scales_1.0.0 lubridate_1.7.4 magrittr_1.5 RPresto_1.3.2
[19] knitr_1.22 extrafont_0.17 bigrquery_1.1.1
loaded via a namespace (and not attached):
[1] nlme_3.1-139 sf_0.7-4 bit64_0.9-7 httr_1.4.0 tools_3.6.0 backports_1.1.4 rgdal_1.4-3 R6_2.4.0
[9] KernSmooth_2.23-15 rgeos_0.4-3 lazyeval_0.2.2 colorspace_1.4-1 raster_2.8-19 withr_2.1.2 sp_1.3-1 tidyselect_0.2.5
[17] bit_1.1-14 curl_3.3 compiler_3.6.0 extrafontdb_1.0 cli_1.1.0 rvest_0.3.3 formatR_1.6 xml2_1.2.0
[25] labeling_0.3 dygraphs_1.1.1.6 classInt_0.3-3 digest_0.6.18 foreign_0.8-71 rmarkdown_1.12 base64enc_0.1-3 pkgconfig_2.0.2
[33] htmltools_0.3.6 jsonvalidate_1.0.0 htmlwidgets_1.3 rlang_0.3.4 readxl_1.3.1 rstudioapi_0.10 httpcode_0.2.0 shiny_1.3.2
[41] generics_0.0.2 zoo_1.8-5 jsonlite_1.6 futile.logger_1.4.3 Rcpp_1.0.1 munsell_0.5.0 yaml_2.2.0 stringi_1.4.3
[49] jqr_1.1.0 plyr_1.8.4 grid_3.6.0 settings_0.2.4 maptools_0.9-5 parallel_3.6.0 listenv_0.7.0 promises_1.0.1
[57] crayon_1.3.4 geojsonio_0.7.0 miniUI_0.1.1.1 lattice_0.20-38 haven_2.1.0 geojson_0.3.2 hms_0.4.2 pillar_1.3.1
[65] geojsonlint_0.3.0 codetools_0.2-16 futile.options_1.0.1 crul_0.7.4 glue_1.3.1 infuser_0.2.8 evaluate_0.13 V8_2.2
[73] lambda.r_1.2.3 modelr_0.1.4 png_0.1-7 httpuv_1.5.1 Rttf2pt1_1.3.7 cellranger_1.1.0 gtable_0.3.0 future_1.12.0
[81] RDruid_0.2.3 assertthat_0.2.1 xfun_0.6 mime_0.6 xtable_1.8-4 broom_0.5.2 e1071_1.7-1 later_0.8.0
[89] class_7.3-15 units_0.6-2 globals_0.12.4
I just found that not loading my company's internal package actually fixes this issue. There must be a function in my company's package that's breaking this package.