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$run_calculation, {
print(1)
})
}
shinyApp(ui, server)
Related
I got error editable from DT package
Error in if (editable) params$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 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 want to read a bunch of files in from a directory using a loop, with a set naming convention (e.g., File_a_1.Rds, File_a_2.Rds, File_b_1.Rds, etc.). There might be gaps in the file names (e.g., File_a_2.Rds might be missing), but gaps themselves aren't a problem. To account for gaps, I've tried using file.exists(): if (file.exists(fname)) readRDS(fname) else NULL, but I then get an error message indicating that R tried to do readRDS(fname) even though fname doesn't exist: Error in readRDS(fname) : error reading from connection. What's going on here?
Other means of testing this if-statement indicate that it works when I'm not trying to use readRDS(). For example, if (file.exists(fname)) "apple" else "banana" gives me apples and bananas where I expect them, so it's weird that the same logic isn't applied to if (file.exists(fname)) readRDS(fname) else NULL. Likewise, using ifTRUE() doesn't help things, contra an earlier post.
N.B. The type of loop shouldn't matter, but in this case I'm using mclapply() to vectorize the operation. And normally I'd just do something like dir() %>% do.call(readRDS), but then the files would be in the wrong order and without the nested structure I'm looking for.
Session info:
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=en_NZ.UTF-8 LC_NUMERIC=C LC_TIME=en_NZ.UTF-8 LC_COLLATE=en_NZ.UTF-8
[5] LC_MONETARY=en_NZ.UTF-8 LC_MESSAGES=en_NZ.UTF-8 LC_PAPER=en_NZ.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=en_NZ.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] grid parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] DMwR_0.4.1 ROCR_1.0-7 gplots_3.0.1.1 caret_6.0-81 lattice_0.20-38 ranger_0.11.1
[7] lmerTest_3.1-0 lme4_1.1-20 Matrix_1.2-15 magrittr_1.5 forcats_0.4.0 stringr_1.4.0
[13] dplyr_0.8.0.1 purrr_0.3.0 readr_1.3.1 tidyr_0.8.2 tibble_2.0.1 ggplot2_3.1.0
[19] tidyverse_1.2.1
loaded via a namespace (and not attached):
[1] nlme_3.1-137 bitops_1.0-6 xts_0.11-2 lubridate_1.7.4 httr_1.4.0
[6] numDeriv_2016.8-1 tools_3.5.2 backports_1.1.3 R6_2.4.0 rpart_4.1-13
[11] KernSmooth_2.23-15 lazyeval_0.2.1 colorspace_1.4-0 nnet_7.3-12 withr_2.1.2
[16] tidyselect_0.2.5 curl_3.3 compiler_3.5.2 cli_1.0.1 rvest_0.3.2
[21] xml2_1.2.0 caTools_1.17.1.1 scales_1.0.0 digest_0.6.18 minqa_1.2.4
[26] rmarkdown_1.11 base64enc_0.1-3 pkgconfig_2.0.2 htmltools_0.3.6 TTR_0.23-4
[31] rlang_0.3.1 readxl_1.3.0 rstudioapi_0.9.0 quantmod_0.4-13 generics_0.0.2
[36] zoo_1.8-4 jsonlite_1.6 gtools_3.8.1 ModelMetrics_1.2.2 Rcpp_1.0.0
[41] munsell_0.5.0 abind_1.4-5 stringi_1.3.1 yaml_2.2.0 MASS_7.3-51.1
[46] plyr_1.8.4 recipes_0.1.4 gdata_2.18.0 crayon_1.3.4 haven_2.1.0
[51] splines_3.5.2 hms_0.4.2 knitr_1.21 pillar_1.3.1 reshape2_1.4.3
[56] codetools_0.2-16 stats4_3.5.2 glue_1.3.0 evaluate_0.13 data.table_1.12.0
[61] modelr_0.1.4 nloptr_1.2.1 foreach_1.4.4 cellranger_1.1.0 gtable_0.2.0
[66] assertthat_0.2.0 xfun_0.5 gower_0.1.2 prodlim_2018.04.18 broom_0.5.1
[71] class_7.3-15 survival_2.43-3 timeDate_3043.102 iterators_1.0.10 lava_1.6.5
[76] ipred_0.9-8 ```
When I try to render an rmarkdown file with a ggplot image, all the chunks work that do not contain a ggplot image and it fails without an error when it tries to run said chunk.
The output I get in my terminal is
Killed
It runs fine on my local machine with the latest version of R and all the packages updated.
Below is the environment I am using in docker to try to run the same thing (when it fails).
R version 3.4.1 (2017-06-30)
Platform: x86_64-redhat-linux-gnu (64-bit)
Running under: Amazon Linux AMI 2017.09
Matrix products: default
BLAS/LAPACK: /usr/lib64/R/lib/libRblas.so
locale:
[1] C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] bindrcpp_0.2.2 blogdown_0.10 rmarkdown_1.11 here_0.1
[5] PRROC_1.3.1 DT_0.5 forcats_0.3.0
stringr_1.3.1
[9] dplyr_0.7.8 purrr_0.2.5 readr_1.3.1
tidyr_0.8.2
[13] tibble_2.0.1 ggplot2_3.1.0 tidyverse_1.2.1
data.table_1.12.0
loaded via a namespace (and not attached):
[1] Rcpp_1.0.0 lubridate_1.7.4 lattice_0.20-35
assertthat_0.2.0
[5] rprojroot_1.3-2 digest_0.6.18 mime_0.6 R6_2.3.0
[9] cellranger_1.1.0 plyr_1.8.4 backports_1.1.3 evaluate_0.12
[13] httr_1.4.0 pillar_1.3.1 rlang_0.3.1
lazyeval_0.2.1
[17] readxl_1.2.0 rstudioapi_0.9.0 Matrix_1.2-10
reticulate_1.10
[21] htmlwidgets_1.3 munsell_0.5.0 shiny_1.2.0 broom_0.5.1
[25] compiler_3.4.1 httpuv_1.4.5.1 modelr_0.1.2 xfun_0.4
[29] pkgconfig_2.0.2 htmltools_0.3.6 tidyselect_0.2.5 crayon_1.3.4
[33] withr_2.1.2 later_0.7.5 grid_3.4.1 nlme_3.1-131
[37] jsonlite_1.6 xtable_1.8-3 gtable_0.2.0 magrittr_1.5
[41] scales_1.0.0 cli_1.0.1 stringi_1.2.4
promises_1.0.1
[45] xml2_1.2.0 generics_0.0.2 tools_3.4.1 glue_1.3.0
[49] hms_0.4.2 crosstalk_1.0.0 yaml_2.2.0
colorspace_1.4-0
[53] rvest_0.3.2 knitr_1.21 bindr_0.1.1 haven_2.0.0
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