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
Related
I am building a shiny application with multiple actionButtons. Out of many actionButtons, two of them behave weirdly and get triggered twice everytime user clicks on it. This is only observed on 2 actionbuttons, whereas the rest function well. My initial thought was, it got triggered by some reactive variable however, I removed all my code from the observeEvent and wrote only a print statement, it still triggers it twice. Is this a know bug ?
sessionInfo()
R version 3.5.2 (2018-12-20)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Red Hat Enterprise Linux Server 7.9 (Maipo)
Matrix products: default
BLAS: /opt/R/3.5.2/lib64/R/lib/libRblas.so
LAPACK: /opt/R/3.5.2/lib64/R/lib/libRlapack.so
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] furrr_0.1.0 future_1.14.0 shinyjs_1.0 shinyWidgets_0.4.8.910 highcharter_0.7.0
[6] lubridate_1.7.4 writexl_1.1 reshape2_1.4.3 data.table_1.12.2 forcats_0.4.0
[11] purrr_0.3.2 readr_1.3.1 tidyr_0.8.3 tibble_2.1.3 ggplot2_3.2.0
[16] tidyverse_1.2.1 dplyr_0.8.3 plyr_1.8.4 jsonlite_1.6 openxlsx_4.1.0.1
[21] shinyalert_1.0 htmlwidgets_1.3 RODBCext_0.3.1 digest_0.6.20 stringr_1.4.0
[26] DT_0.7 RODBC_1.3-15 DBI_1.0.0 fulcrumlogging_1.0.2 shiny_1.3.2
loaded via a namespace (and not attached):
[1] httr_1.4.0 bit64_0.9-7 modelr_0.1.4 assertthat_0.2.1 TTR_0.23-4 blob_1.1.1
[7] cellranger_1.1.0 yaml_2.2.0 globals_0.12.4 pillar_1.4.2 backports_1.1.4 lattice_0.20-38
[13] glue_1.3.1 rlist_0.4.6.1 promises_1.0.1 rvest_0.3.4 colorspace_1.4-1 htmltools_0.3.6
[19] httpuv_1.5.1 pkgconfig_2.0.2 broom_0.5.2 listenv_0.7.0 haven_2.1.1 xtable_1.8-4
[25] scales_1.0.0 whisker_0.3-2 later_0.8.0 generics_0.0.2 withr_2.1.2 lazyeval_0.2.2
[31] cli_1.1.0 quantmod_0.4-15 magrittr_1.5 crayon_1.3.4 readxl_1.3.1 mime_0.7
[37] nlme_3.1-137 xts_0.11-2 xml2_1.2.0 shinydashboard_0.7.1 tools_3.5.2 hms_0.4.2
[43] odbc_1.1.6 munsell_0.5.0 zip_2.0.3 compiler_3.5.2 rlang_0.4.0 grid_3.5.2
[49] rstudioapi_0.10 crosstalk_1.0.0 igraph_1.2.4.1 codetools_0.2-15 gtable_0.3.0 curl_3.3
[55] R6_2.4.0 zoo_1.8-6 bit_1.1-14 stringi_1.4.4 parallel_3.5.2 Rcpp_1.0.1
[61] tidyselect_0.2.5
library(shiny)
ui <- fluidPage(
fluidRow(
column(3, shiny::actionButton("run_calculation", "Run Calculation")),
style = "background: #034FDB;font-family: Roboto, sans-serif;font-style: normal;font-weight: normal;font-size: 18px;
line-height: 20px"
)
)
server <- function(input, output, session) {
observeEvent(input$run_calculation, {
print(1)
})
}
shinyApp(ui, server)
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
I am trying to use foreach and doParallel to optimize the computation of some image processing. I have ParamIter which is the parameter to iterate over. ImageProcessing is my custom function to process the images and save the data that has been processed.
library(methods)
library(fftwtools)
library(EBImage)
library(tidyverse)
library(foreach)
library(doParallel)
registerDoParallel(20)
foreach(ParamIter = unique(AllImages$ParamIter)) %dopar% {
AllImagesTemp = AllImages[AllImages$ParamIter == ParamIter,]
ImageProcessing(Image = AllImagesTemp,
Plate = unique(AllImagesTemp$Plate),
TimePoint = unique(AllImagesTemp$TimePoint),
Marker = unique(AllImagesTemp$Marker),
Replicate = unique(AllImagesTemp$Replicate),
Well = unique(AllImagesTemp$ID),
Position = unique(AllImagesTemp$Position),
SaveDir = WellDir,
SaveParam = ParamIter,
ThrEmptyImage = .04)
}
Everything works perfectly locally on a machine with Ubuntu 18.04 and a session as per below:
> sessionInfo()
R version 3.5.3 (2019-03-11)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.2 LTS
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_US.UTF-8 LC_NUMERIC=C LC_TIME=de_DE.UTF-8 LC_COLLATE=en_US.UTF-8 LC_MONETARY=de_DE.UTF-8
[6] LC_MESSAGES=en_US.UTF-8 LC_PAPER=de_DE.UTF-8 LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=de_DE.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] bindrcpp_0.2.2 fftwtools_0.9-8 doParallel_1.0.14 iterators_1.0.10 foreach_1.4.4 forcats_0.3.0 stringr_1.4.0 dplyr_0.7.7
[9] purrr_0.3.1 readr_1.1.1 tidyr_0.8.2 tibble_2.0.1 ggplot2_3.1.0 tidyverse_1.2.1 EBImage_4.24.0
loaded via a namespace (and not attached):
[1] tidyselect_0.2.5 locfit_1.5-9.1 haven_1.1.2 lattice_0.20-38 colorspace_1.4-0 htmltools_0.3.6 yaml_2.2.0
[8] rlang_0.3.1 pillar_1.3.1 withr_2.1.2 glue_1.3.0 BiocGenerics_0.28.0 modelr_0.1.2 readxl_1.1.0
[15] jpeg_0.1-8 bindr_0.1.1 plyr_1.8.4 munsell_0.5.0 gtable_0.2.0 cellranger_1.1.0 rvest_0.3.2
[22] htmlwidgets_1.3 codetools_0.2-16 broom_0.5.0 Rcpp_1.0.0 backports_1.1.3 scales_1.0.0 jsonlite_1.6
[29] abind_1.4-5 hms_0.4.2 png_0.1-7 digest_0.6.18 stringi_1.3.1 tiff_0.1-5 grid_3.5.3
[36] cli_1.0.1 tools_3.5.3 bitops_1.0-6 magrittr_1.5 RCurl_1.95-4.11 lazyeval_0.2.1 crayon_1.3.4
[43] pkgconfig_2.0.2 xml2_1.2.0 lubridate_1.7.4 assertthat_0.2.0 httr_1.4.0 rstudioapi_0.9.0 R6_2.3.0
[50] nlme_3.1-137 compiler_3.5.3
However if I am trying to do this on my local cluster it doesn't work and provides me with this error:
Error in { :
task 1 failed - "a call to callNextMethod() appears in a call to ‘.Method’, but the call does not seem to come from either a generic function or another 'callNextMethod'"
Calls: %dopar% -> <Anonymous>
Execution halted
My session on the centos cluster looks like:
R version 3.4.1 (2017-06-30)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)
Matrix products: default
BLAS: /cm/shared/apps/R/64/3.4.1/lib64/R/lib/libRblas.so
LAPACK: /cm/shared/apps/R/64/3.4.1/lib64/R/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] 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
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] parallel stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] doParallel_1.0.14 iterators_1.0.10 foreach_1.4.4 forcats_0.3.0
[5] stringr_1.3.1 dplyr_0.7.8 purrr_0.3.0 readr_1.3.1
[9] tidyr_0.8.2 tibble_2.0.1 ggplot2_3.1.0 tidyverse_1.2.1
[13] EBImage_4.20.1 fftwtools_0.9-8
loaded via a namespace (and not attached):
[1] tidyselect_0.2.5 locfit_1.5-9.1 haven_2.0.0
[4] lattice_0.20-35 colorspace_1.4-0 generics_0.0.2
[7] htmltools_0.3.6 rlang_0.3.1 pillar_1.3.1
[10] withr_2.1.2 glue_1.3.0 BiocGenerics_0.24.0
[13] modelr_0.1.2 readxl_1.2.0 bindrcpp_0.2.2
[16] jpeg_0.1-8 bindr_0.1.1 plyr_1.8.4
[19] munsell_0.5.0 gtable_0.2.0 cellranger_1.1.0
[22] rvest_0.3.2 htmlwidgets_1.3 codetools_0.2-15
[25] broom_0.5.1 Rcpp_1.0.0 scales_1.0.0
[28] backports_1.1.3 jsonlite_1.6 abind_1.4-5
[31] hms_0.4.2 png_0.1-7 digest_0.6.18
[34] stringi_1.2.4 tiff_0.1-5 grid_3.4.1
[37] cli_1.0.1 bitops_1.0-6 tools_3.4.1
[40] magrittr_1.5 RCurl_1.95-4.10 lazyeval_0.2.1
[43] crayon_1.3.4 pkgconfig_2.0.2 xml2_1.2.0
[46] lubridate_1.7.4 assertthat_0.2.0 httr_1.4.0
[49] rstudioapi_0.9.0 R6_2.3.0 nlme_3.1-131
[52] compiler_3.4.1
I do not understand the error and what it is pointing me towards. Does someone have an idea of how I could solve this problem?
Upgrading to a newer version of R is not a possibility on my local cluster.
Cheers,
Mathieu
I didn't find any results on my internet calls. How to fix this error is caused?
library(ggplot2)
ggplot(data = mtcars, aes(x=disp , y=wt)) +
geom_point(stat = "identity")
result;
Error: Can't find stat called "identity"
My sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.1 LTS
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=tr_TR.UTF-8 LC_NUMERIC=C
[3] LC_TIME=tr_TR.UTF-8 LC_COLLATE=tr_TR.UTF-8
[5] LC_MONETARY=tr_TR.UTF-8 LC_MESSAGES=tr_TR.UTF-8
[7] LC_PAPER=tr_TR.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=tr_TR.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggplot2_3.1.0 shiny_1.2.0
loaded via a namespace (and not attached):
[1] Rcpp_1.0.0 pillar_1.3.0 compiler_3.5.1
[4] cellranger_1.1.0 RColorBrewer_1.1-2 later_0.7.5
[7] plyr_1.8.4 bindr_0.1.1 forcats_0.3.0
[10] tools_3.5.1 digest_0.6.18 viridisLite_0.3.0
[13] jsonlite_1.5 tibble_1.4.2 gtable_0.2.0
[16] pkgconfig_2.0.2 rlang_0.3.0.1 ggplotgui_1.0.0
[19] rstudioapi_0.8 yaml_2.2.0 haven_1.1.2
[22] bindrcpp_0.2.2 withr_2.1.2 stringr_1.3.1
[25] httr_1.3.1 dplyr_0.7.8 htmlwidgets_1.3
[28] hms_0.4.2 grid_3.5.1 tidyselect_0.2.5
[31] data.table_1.11.8 glue_1.3.0 R6_2.3.0
[34] plotly_4.8.0 readxl_1.1.0 readr_1.1.1
[37] tidyr_0.8.2 purrr_0.2.5 magrittr_1.5
[40] scales_1.0.0 promises_1.0.1 htmltools_0.3.6
[43] assertthat_0.2.0 xtable_1.8-3 mime_0.6
[46] colorspace_1.3-2 httpuv_1.4.5 stringi_1.2.4
[49] lazyeval_0.2.1 munsell_0.5.0 crayon_1.3.4
Has anyone experienced having their plot labels cropped in knitted PDF's in Linux? This does not happen in my Windows machine.
Here is a minimal r-markdown example to replicate this problem.
---
output:
pdf_document:
keep_tex: true
---
---
{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
---
---
{r pressure, echo=FALSE}
plot(pressure)
---
Here is the output.
I have submitted this as a bug report here.
sessionInfo()
R version 3.4.4 (2018-03-15)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: elementary OS 0.4.1 Loki
Matrix products: default
BLAS: /usr/lib/libblas/libblas.so.3.6.0
LAPACK: /usr/lib/lapack/liblapack.so.3.6.0
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8
[4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats grDevices utils datasets graphics methods base
loaded via a namespace (and not attached):
[1] tseries_0.10-44 httr_1.3.1 tufte_0.3
[4] tidyr_0.8.0 jsonlite_1.5 uroot_2.0-9
[7] modelr_0.1.1 assertthat_0.2.0 TTR_0.23-3
[10] selectr_0.4-1 cellranger_1.1.0 yaml_2.1.18
[13] progress_1.2.0 pillar_1.2.2 backports_1.1.2
[16] lattice_0.20-35 glue_1.2.0 quadprog_1.5-5
[19] digest_0.6.15 rvest_0.3.2 colorspace_1.3-2
[22] htmltools_0.3.6 plyr_1.8.4 psych_1.8.3.3
[25] timeDate_3043.102 pkgconfig_2.0.1 broom_0.4.4
[28] haven_1.1.1 purrr_0.2.4 scales_0.5.0.9000
[31] git2r_0.21.0 tibble_1.4.2 ggplot2_2.2.1.9000
[34] withr_2.1.2 urca_1.3-0 nnet_7.3-12
[37] ansistrings_1.0.0.9000 lazyeval_0.2.1 cli_1.0.0.9002
[40] quantmod_0.4-13 mnormt_1.5-5 magrittr_1.5
[43] crayon_1.3.4 readxl_1.1.0 memoise_1.1.0
[46] evaluate_0.10.1 nlme_3.1-131.1 forcats_0.3.0
[49] xts_0.10-2 xml2_1.2.0 foreign_0.8-69
[52] rsconnect_0.8.8 tools_3.4.4 prettyunits_1.0.2
[55] hms_0.4.2 stringr_1.3.0 munsell_0.4.3
[58] bindrcpp_0.2.2 compiler_3.4.4 rlang_0.2.0.9001
[61] grid_3.4.4 rstudioapi_0.7 labeling_0.3
[64] rmarkdown_1.9 gtable_0.2.0 fracdiff_1.4-2
[67] curl_3.2 reshape2_1.4.3 R6_2.2.2
[70] zoo_1.8-1 lubridate_1.7.4 knitr_1.20
[73] dplyr_0.7.4 utf8_1.1.3 bindr_0.1.1
[76] rprojroot_1.3-2 readr_1.1.1 stringi_1.1.7
[79] parallel_3.4.4 Rcpp_0.12.16 lmtest_0.9-36