error knitting flex dashboard rmarkdown dplyr












2















I'm getting the following error when knitting to html flex_dashboard in rmarkdown.



Error in UseMethod("mutate_") :
no applicable method for 'mutate_' applied to an object of class "function"
Calls: ... withVisible -> -> mutate -> mutate.default -> mutate_
Execution halted



It is weird to get this error as I don't see my mistake. What am I doing wrong?



---
title: "Untitled"
output:
flexdashboard::flex_dashboard:
orientation: rows
vertical_layout: fill
---

```{r setup, include = FALSE}
# --- This chunk sets the general options for compiling the final output
document with knitr

knitr::opts_chunk$set(echo = FALSE, # display code in output
warning = FALSE, # display code warnings in document
results = 'asis', # passthrough results
error = FALSE, # display error messages in document
message = FALSE, # display code messages in document
fig.align = 'center', # type of alignment of figures
eval = TRUE # evaluate code in code chunk
)
# there are more options available to tune the way the document can be compiled.

# set global options for table output in notebook when not compiled.
options(knitr.table.format = "html")
```


```{r libraries, include = FALSE}
# library loads
library(flexdashboard)
library(dygraphs)
library(dplyr)
library(lubridate)
library(xts)
library(zoo)
library(magrittr)
```

```{r dataprep, include = FALSE}
# create promodata
df %>%
mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
weekday = weekdays(datum_besteld),
weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
)
```


extract of df:



structure(list(ktk_nr_ts = c(2.01703127263e+18, 2.01703127302e+18, 
2.01703127304e+18, 2.01703127263e+18, 2.01703127263e+18,
2.01703124599e+18,
2.01703127263e+18, 2.01807087263e+18, 2.01807087263e+18,
2.01807087263e+18,
2.01807087314e+18, 2.01807084123e+18, 2.01807084123e+18,
2018070836540006400,
2018070836540006400, 2.01807083747e+18, 2.01807083747e+18,
2.01807084121e+18,
2.01807084121e+18, 2.01807083637e+18, 2.01807084232e+18,
2.01807083829e+18,
2.01807083829e+18, 2018070841230006784, 2018070841230005760,
2.01807084121e+18, 2.01807084121e+18, 2.01807084121e+18,
2.01807087263e+18,
2.01807087263e+18), omzet = c(898, 377, 341.1, 29.95, 1899, 48.75,
349, 36.72, 12.16, 21.74, 29.95, 23.96, 23.96, 139, 19.95, 44.97,
37.46, 18.36, 44.96, 21.95, 14.95, 46.71, 89.99, 0, 166, 52.42,
35.12, 44.99, 49.95, 429), datum_besteld = structure(c(17237,
17237, 17237, 17237, 17237, 17227, 17237, 17716, 17716, 17716,
17716, 17715, 17715, 17714, 17715, 17713, 17713, 17716, 17716,
17715, 17717, 17708, 17708, 17704, 17717, 17712, 17712, 17712,
17720, 17720), class = "Date"), datum_start_promo = structure(c(2932896,
2932896, 17232, 2932896, 2932896, 2932896, 2932896, 17712, 17713,
17713, 2932896, 17712, 17712, 2932896, 2932896, 17712, 17712,
17712, 17712, 2932896, 2932896, 17687, 2932896, 2932896, 2932896,
17712, 17712, 2932896, 2932896, 2932896), class = "Date"), datum_end_promo
= structure(c(2932896,
2932896, 17253, 2932896, 2932896, 2932896, 2932896, 17743, 17727,
17727, 2932896, 17743, 17743, 2932896, 2932896, 17743, 17743,
17743, 17743, 2932896, 2932896, 17711, 2932896, 2932896, 2932896,
17743, 17743, 2932896, 2932896, 2932896), class = "Date")), row.names =
c(NA,
30L), class = "data.frame")


sessionInfo()



sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Red Hat Enterprise Linux Server 7.5 (Maipo)

Matrix products: default
BLAS: /home/AD/jbr1ftr/.conda/envs/r-jl/lib/R/lib/libRblas.so
LAPACK: /home/AD/jbr1ftr/.conda/envs/r-jl/lib/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 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 LC_TELEPHONE=C LC_MEASUREMENT=en_US.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 xts_0.11-0 zoo_1.8-3 dygraphs_1.1.1.6 flexdashboard_0.5.1.1 iml_0.5.1 doFuture_0.6.0
[8] iterators_1.0.10 foreach_1.5.0 future_1.9.0 kableExtra_0.9.0 knitr_1.20 ruler_0.1.3 AMR_0.2.0
[15] table1_1.1 skimr_1.0.3 descriptr_0.4.1 corrr_0.3.0 plotROC_2.2.1 pROC_1.12.1 RANN_2.6
[22] caret_6.0-80 lattice_0.20-35 magrittr_1.5 odbc_1.1.6 DBI_1.0.0 glue_1.3.0 rvest_0.3.2
[29] xml2_1.2.0 httr_1.3.1 jsonlite_1.5 forcats_0.3.0 tibble_1.4.2 ggvis_0.4.3 ggplot2_3.0.0
[36] purrr_0.2.5 stringr_1.3.1 lubridate_1.7.4 dplyr_0.7.6 tidyr_0.8.1 readr_1.1.1 readxl_1.1.0
[43] RevoUtils_11.0.1 RevoUtilsMath_11.0.0

loaded via a namespace (and not attached):
[1] colorspace_1.3-2 class_7.3-14 rprojroot_1.3-2 base64enc_0.1-3 pls_2.6-0 rstudioapi_0.7 DRR_0.0.3 listenv_0.7.0 bit64_0.9-7
[10] mvtnorm_1.0-8 prodlim_2018.04.18 codetools_0.2-15 splines_3.5.1 robustbase_0.93-2 libcoin_1.0-1 RcppRoll_0.3.0 Formula_1.2-3 Metrics_0.1.4
[19] broom_0.5.0 ddalpha_1.3.4 kernlab_0.9-26 sfsmisc_1.1-2 shiny_1.1.0 compiler_3.5.1 backports_1.1.2 assertthat_0.2.0 Matrix_1.2-14
[28] lazyeval_0.2.1 later_0.7.3 htmltools_0.3.6 tools_3.5.1 partykit_1.2-2 gtable_0.2.0 reshape2_1.4.3 Rcpp_0.12.18 cellranger_1.1.0
[37] nlme_3.1-137 inum_1.0-0 timeDate_3043.102 gower_0.1.2 globals_0.12.1 mime_0.5 DEoptimR_1.0-8 MASS_7.3-50 scales_0.5.0
[46] ipred_0.9-6 hms_0.4.2 promises_1.0.1 yaml_2.2.0 rpart_4.1-13 stringi_1.2.4 checkmate_1.8.5 lava_1.6.2 geometry_0.3-6
[55] rlang_0.2.1 pkgconfig_2.0.1 evaluate_0.11 bindr_0.1.1 htmlwidgets_1.2 recipes_0.1.3 CVST_0.2-2 bit_1.1-14 tidyselect_0.2.4
[64] plyr_1.8.4 R6_2.2.2 dimRed_0.1.0 pillar_1.3.0 withr_2.1.2 survival_2.42-3 abind_1.4-5 nnet_7.3-12 crayon_1.3.4
[73] rmarkdown_1.10 grid_3.5.1 data.table_1.11.4 blob_1.1.1 ModelMetrics_1.1.0 digest_0.6.15 xtable_1.8-2 httpuv_1.4.5 keyholder_0.1.2
[82] glmnet_2.0-16 stats4_3.5.1 munsell_0.5.0 viridisLite_0.3.0 magic_1.5-8









share|improve this question

























  • Please dput a sample of your data.

    – Christoph
    Nov 21 '18 at 8:23











  • added a dput sample

    – JL B
    Nov 21 '18 at 8:57











  • Did my answer solve your problem? Then you can mark it as such...

    – Christoph
    Nov 21 '18 at 10:04











  • yes, haven't had the time yet to test it until now. Thanks for your support!

    – JL B
    Nov 23 '18 at 8:05
















2















I'm getting the following error when knitting to html flex_dashboard in rmarkdown.



Error in UseMethod("mutate_") :
no applicable method for 'mutate_' applied to an object of class "function"
Calls: ... withVisible -> -> mutate -> mutate.default -> mutate_
Execution halted



It is weird to get this error as I don't see my mistake. What am I doing wrong?



---
title: "Untitled"
output:
flexdashboard::flex_dashboard:
orientation: rows
vertical_layout: fill
---

```{r setup, include = FALSE}
# --- This chunk sets the general options for compiling the final output
document with knitr

knitr::opts_chunk$set(echo = FALSE, # display code in output
warning = FALSE, # display code warnings in document
results = 'asis', # passthrough results
error = FALSE, # display error messages in document
message = FALSE, # display code messages in document
fig.align = 'center', # type of alignment of figures
eval = TRUE # evaluate code in code chunk
)
# there are more options available to tune the way the document can be compiled.

# set global options for table output in notebook when not compiled.
options(knitr.table.format = "html")
```


```{r libraries, include = FALSE}
# library loads
library(flexdashboard)
library(dygraphs)
library(dplyr)
library(lubridate)
library(xts)
library(zoo)
library(magrittr)
```

```{r dataprep, include = FALSE}
# create promodata
df %>%
mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
weekday = weekdays(datum_besteld),
weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
)
```


extract of df:



structure(list(ktk_nr_ts = c(2.01703127263e+18, 2.01703127302e+18, 
2.01703127304e+18, 2.01703127263e+18, 2.01703127263e+18,
2.01703124599e+18,
2.01703127263e+18, 2.01807087263e+18, 2.01807087263e+18,
2.01807087263e+18,
2.01807087314e+18, 2.01807084123e+18, 2.01807084123e+18,
2018070836540006400,
2018070836540006400, 2.01807083747e+18, 2.01807083747e+18,
2.01807084121e+18,
2.01807084121e+18, 2.01807083637e+18, 2.01807084232e+18,
2.01807083829e+18,
2.01807083829e+18, 2018070841230006784, 2018070841230005760,
2.01807084121e+18, 2.01807084121e+18, 2.01807084121e+18,
2.01807087263e+18,
2.01807087263e+18), omzet = c(898, 377, 341.1, 29.95, 1899, 48.75,
349, 36.72, 12.16, 21.74, 29.95, 23.96, 23.96, 139, 19.95, 44.97,
37.46, 18.36, 44.96, 21.95, 14.95, 46.71, 89.99, 0, 166, 52.42,
35.12, 44.99, 49.95, 429), datum_besteld = structure(c(17237,
17237, 17237, 17237, 17237, 17227, 17237, 17716, 17716, 17716,
17716, 17715, 17715, 17714, 17715, 17713, 17713, 17716, 17716,
17715, 17717, 17708, 17708, 17704, 17717, 17712, 17712, 17712,
17720, 17720), class = "Date"), datum_start_promo = structure(c(2932896,
2932896, 17232, 2932896, 2932896, 2932896, 2932896, 17712, 17713,
17713, 2932896, 17712, 17712, 2932896, 2932896, 17712, 17712,
17712, 17712, 2932896, 2932896, 17687, 2932896, 2932896, 2932896,
17712, 17712, 2932896, 2932896, 2932896), class = "Date"), datum_end_promo
= structure(c(2932896,
2932896, 17253, 2932896, 2932896, 2932896, 2932896, 17743, 17727,
17727, 2932896, 17743, 17743, 2932896, 2932896, 17743, 17743,
17743, 17743, 2932896, 2932896, 17711, 2932896, 2932896, 2932896,
17743, 17743, 2932896, 2932896, 2932896), class = "Date")), row.names =
c(NA,
30L), class = "data.frame")


sessionInfo()



sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Red Hat Enterprise Linux Server 7.5 (Maipo)

Matrix products: default
BLAS: /home/AD/jbr1ftr/.conda/envs/r-jl/lib/R/lib/libRblas.so
LAPACK: /home/AD/jbr1ftr/.conda/envs/r-jl/lib/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 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 LC_TELEPHONE=C LC_MEASUREMENT=en_US.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 xts_0.11-0 zoo_1.8-3 dygraphs_1.1.1.6 flexdashboard_0.5.1.1 iml_0.5.1 doFuture_0.6.0
[8] iterators_1.0.10 foreach_1.5.0 future_1.9.0 kableExtra_0.9.0 knitr_1.20 ruler_0.1.3 AMR_0.2.0
[15] table1_1.1 skimr_1.0.3 descriptr_0.4.1 corrr_0.3.0 plotROC_2.2.1 pROC_1.12.1 RANN_2.6
[22] caret_6.0-80 lattice_0.20-35 magrittr_1.5 odbc_1.1.6 DBI_1.0.0 glue_1.3.0 rvest_0.3.2
[29] xml2_1.2.0 httr_1.3.1 jsonlite_1.5 forcats_0.3.0 tibble_1.4.2 ggvis_0.4.3 ggplot2_3.0.0
[36] purrr_0.2.5 stringr_1.3.1 lubridate_1.7.4 dplyr_0.7.6 tidyr_0.8.1 readr_1.1.1 readxl_1.1.0
[43] RevoUtils_11.0.1 RevoUtilsMath_11.0.0

loaded via a namespace (and not attached):
[1] colorspace_1.3-2 class_7.3-14 rprojroot_1.3-2 base64enc_0.1-3 pls_2.6-0 rstudioapi_0.7 DRR_0.0.3 listenv_0.7.0 bit64_0.9-7
[10] mvtnorm_1.0-8 prodlim_2018.04.18 codetools_0.2-15 splines_3.5.1 robustbase_0.93-2 libcoin_1.0-1 RcppRoll_0.3.0 Formula_1.2-3 Metrics_0.1.4
[19] broom_0.5.0 ddalpha_1.3.4 kernlab_0.9-26 sfsmisc_1.1-2 shiny_1.1.0 compiler_3.5.1 backports_1.1.2 assertthat_0.2.0 Matrix_1.2-14
[28] lazyeval_0.2.1 later_0.7.3 htmltools_0.3.6 tools_3.5.1 partykit_1.2-2 gtable_0.2.0 reshape2_1.4.3 Rcpp_0.12.18 cellranger_1.1.0
[37] nlme_3.1-137 inum_1.0-0 timeDate_3043.102 gower_0.1.2 globals_0.12.1 mime_0.5 DEoptimR_1.0-8 MASS_7.3-50 scales_0.5.0
[46] ipred_0.9-6 hms_0.4.2 promises_1.0.1 yaml_2.2.0 rpart_4.1-13 stringi_1.2.4 checkmate_1.8.5 lava_1.6.2 geometry_0.3-6
[55] rlang_0.2.1 pkgconfig_2.0.1 evaluate_0.11 bindr_0.1.1 htmlwidgets_1.2 recipes_0.1.3 CVST_0.2-2 bit_1.1-14 tidyselect_0.2.4
[64] plyr_1.8.4 R6_2.2.2 dimRed_0.1.0 pillar_1.3.0 withr_2.1.2 survival_2.42-3 abind_1.4-5 nnet_7.3-12 crayon_1.3.4
[73] rmarkdown_1.10 grid_3.5.1 data.table_1.11.4 blob_1.1.1 ModelMetrics_1.1.0 digest_0.6.15 xtable_1.8-2 httpuv_1.4.5 keyholder_0.1.2
[82] glmnet_2.0-16 stats4_3.5.1 munsell_0.5.0 viridisLite_0.3.0 magic_1.5-8









share|improve this question

























  • Please dput a sample of your data.

    – Christoph
    Nov 21 '18 at 8:23











  • added a dput sample

    – JL B
    Nov 21 '18 at 8:57











  • Did my answer solve your problem? Then you can mark it as such...

    – Christoph
    Nov 21 '18 at 10:04











  • yes, haven't had the time yet to test it until now. Thanks for your support!

    – JL B
    Nov 23 '18 at 8:05














2












2








2








I'm getting the following error when knitting to html flex_dashboard in rmarkdown.



Error in UseMethod("mutate_") :
no applicable method for 'mutate_' applied to an object of class "function"
Calls: ... withVisible -> -> mutate -> mutate.default -> mutate_
Execution halted



It is weird to get this error as I don't see my mistake. What am I doing wrong?



---
title: "Untitled"
output:
flexdashboard::flex_dashboard:
orientation: rows
vertical_layout: fill
---

```{r setup, include = FALSE}
# --- This chunk sets the general options for compiling the final output
document with knitr

knitr::opts_chunk$set(echo = FALSE, # display code in output
warning = FALSE, # display code warnings in document
results = 'asis', # passthrough results
error = FALSE, # display error messages in document
message = FALSE, # display code messages in document
fig.align = 'center', # type of alignment of figures
eval = TRUE # evaluate code in code chunk
)
# there are more options available to tune the way the document can be compiled.

# set global options for table output in notebook when not compiled.
options(knitr.table.format = "html")
```


```{r libraries, include = FALSE}
# library loads
library(flexdashboard)
library(dygraphs)
library(dplyr)
library(lubridate)
library(xts)
library(zoo)
library(magrittr)
```

```{r dataprep, include = FALSE}
# create promodata
df %>%
mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
weekday = weekdays(datum_besteld),
weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
)
```


extract of df:



structure(list(ktk_nr_ts = c(2.01703127263e+18, 2.01703127302e+18, 
2.01703127304e+18, 2.01703127263e+18, 2.01703127263e+18,
2.01703124599e+18,
2.01703127263e+18, 2.01807087263e+18, 2.01807087263e+18,
2.01807087263e+18,
2.01807087314e+18, 2.01807084123e+18, 2.01807084123e+18,
2018070836540006400,
2018070836540006400, 2.01807083747e+18, 2.01807083747e+18,
2.01807084121e+18,
2.01807084121e+18, 2.01807083637e+18, 2.01807084232e+18,
2.01807083829e+18,
2.01807083829e+18, 2018070841230006784, 2018070841230005760,
2.01807084121e+18, 2.01807084121e+18, 2.01807084121e+18,
2.01807087263e+18,
2.01807087263e+18), omzet = c(898, 377, 341.1, 29.95, 1899, 48.75,
349, 36.72, 12.16, 21.74, 29.95, 23.96, 23.96, 139, 19.95, 44.97,
37.46, 18.36, 44.96, 21.95, 14.95, 46.71, 89.99, 0, 166, 52.42,
35.12, 44.99, 49.95, 429), datum_besteld = structure(c(17237,
17237, 17237, 17237, 17237, 17227, 17237, 17716, 17716, 17716,
17716, 17715, 17715, 17714, 17715, 17713, 17713, 17716, 17716,
17715, 17717, 17708, 17708, 17704, 17717, 17712, 17712, 17712,
17720, 17720), class = "Date"), datum_start_promo = structure(c(2932896,
2932896, 17232, 2932896, 2932896, 2932896, 2932896, 17712, 17713,
17713, 2932896, 17712, 17712, 2932896, 2932896, 17712, 17712,
17712, 17712, 2932896, 2932896, 17687, 2932896, 2932896, 2932896,
17712, 17712, 2932896, 2932896, 2932896), class = "Date"), datum_end_promo
= structure(c(2932896,
2932896, 17253, 2932896, 2932896, 2932896, 2932896, 17743, 17727,
17727, 2932896, 17743, 17743, 2932896, 2932896, 17743, 17743,
17743, 17743, 2932896, 2932896, 17711, 2932896, 2932896, 2932896,
17743, 17743, 2932896, 2932896, 2932896), class = "Date")), row.names =
c(NA,
30L), class = "data.frame")


sessionInfo()



sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Red Hat Enterprise Linux Server 7.5 (Maipo)

Matrix products: default
BLAS: /home/AD/jbr1ftr/.conda/envs/r-jl/lib/R/lib/libRblas.so
LAPACK: /home/AD/jbr1ftr/.conda/envs/r-jl/lib/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 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 LC_TELEPHONE=C LC_MEASUREMENT=en_US.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 xts_0.11-0 zoo_1.8-3 dygraphs_1.1.1.6 flexdashboard_0.5.1.1 iml_0.5.1 doFuture_0.6.0
[8] iterators_1.0.10 foreach_1.5.0 future_1.9.0 kableExtra_0.9.0 knitr_1.20 ruler_0.1.3 AMR_0.2.0
[15] table1_1.1 skimr_1.0.3 descriptr_0.4.1 corrr_0.3.0 plotROC_2.2.1 pROC_1.12.1 RANN_2.6
[22] caret_6.0-80 lattice_0.20-35 magrittr_1.5 odbc_1.1.6 DBI_1.0.0 glue_1.3.0 rvest_0.3.2
[29] xml2_1.2.0 httr_1.3.1 jsonlite_1.5 forcats_0.3.0 tibble_1.4.2 ggvis_0.4.3 ggplot2_3.0.0
[36] purrr_0.2.5 stringr_1.3.1 lubridate_1.7.4 dplyr_0.7.6 tidyr_0.8.1 readr_1.1.1 readxl_1.1.0
[43] RevoUtils_11.0.1 RevoUtilsMath_11.0.0

loaded via a namespace (and not attached):
[1] colorspace_1.3-2 class_7.3-14 rprojroot_1.3-2 base64enc_0.1-3 pls_2.6-0 rstudioapi_0.7 DRR_0.0.3 listenv_0.7.0 bit64_0.9-7
[10] mvtnorm_1.0-8 prodlim_2018.04.18 codetools_0.2-15 splines_3.5.1 robustbase_0.93-2 libcoin_1.0-1 RcppRoll_0.3.0 Formula_1.2-3 Metrics_0.1.4
[19] broom_0.5.0 ddalpha_1.3.4 kernlab_0.9-26 sfsmisc_1.1-2 shiny_1.1.0 compiler_3.5.1 backports_1.1.2 assertthat_0.2.0 Matrix_1.2-14
[28] lazyeval_0.2.1 later_0.7.3 htmltools_0.3.6 tools_3.5.1 partykit_1.2-2 gtable_0.2.0 reshape2_1.4.3 Rcpp_0.12.18 cellranger_1.1.0
[37] nlme_3.1-137 inum_1.0-0 timeDate_3043.102 gower_0.1.2 globals_0.12.1 mime_0.5 DEoptimR_1.0-8 MASS_7.3-50 scales_0.5.0
[46] ipred_0.9-6 hms_0.4.2 promises_1.0.1 yaml_2.2.0 rpart_4.1-13 stringi_1.2.4 checkmate_1.8.5 lava_1.6.2 geometry_0.3-6
[55] rlang_0.2.1 pkgconfig_2.0.1 evaluate_0.11 bindr_0.1.1 htmlwidgets_1.2 recipes_0.1.3 CVST_0.2-2 bit_1.1-14 tidyselect_0.2.4
[64] plyr_1.8.4 R6_2.2.2 dimRed_0.1.0 pillar_1.3.0 withr_2.1.2 survival_2.42-3 abind_1.4-5 nnet_7.3-12 crayon_1.3.4
[73] rmarkdown_1.10 grid_3.5.1 data.table_1.11.4 blob_1.1.1 ModelMetrics_1.1.0 digest_0.6.15 xtable_1.8-2 httpuv_1.4.5 keyholder_0.1.2
[82] glmnet_2.0-16 stats4_3.5.1 munsell_0.5.0 viridisLite_0.3.0 magic_1.5-8









share|improve this question
















I'm getting the following error when knitting to html flex_dashboard in rmarkdown.



Error in UseMethod("mutate_") :
no applicable method for 'mutate_' applied to an object of class "function"
Calls: ... withVisible -> -> mutate -> mutate.default -> mutate_
Execution halted



It is weird to get this error as I don't see my mistake. What am I doing wrong?



---
title: "Untitled"
output:
flexdashboard::flex_dashboard:
orientation: rows
vertical_layout: fill
---

```{r setup, include = FALSE}
# --- This chunk sets the general options for compiling the final output
document with knitr

knitr::opts_chunk$set(echo = FALSE, # display code in output
warning = FALSE, # display code warnings in document
results = 'asis', # passthrough results
error = FALSE, # display error messages in document
message = FALSE, # display code messages in document
fig.align = 'center', # type of alignment of figures
eval = TRUE # evaluate code in code chunk
)
# there are more options available to tune the way the document can be compiled.

# set global options for table output in notebook when not compiled.
options(knitr.table.format = "html")
```


```{r libraries, include = FALSE}
# library loads
library(flexdashboard)
library(dygraphs)
library(dplyr)
library(lubridate)
library(xts)
library(zoo)
library(magrittr)
```

```{r dataprep, include = FALSE}
# create promodata
df %>%
mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
weekday = weekdays(datum_besteld),
weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
)
```


extract of df:



structure(list(ktk_nr_ts = c(2.01703127263e+18, 2.01703127302e+18, 
2.01703127304e+18, 2.01703127263e+18, 2.01703127263e+18,
2.01703124599e+18,
2.01703127263e+18, 2.01807087263e+18, 2.01807087263e+18,
2.01807087263e+18,
2.01807087314e+18, 2.01807084123e+18, 2.01807084123e+18,
2018070836540006400,
2018070836540006400, 2.01807083747e+18, 2.01807083747e+18,
2.01807084121e+18,
2.01807084121e+18, 2.01807083637e+18, 2.01807084232e+18,
2.01807083829e+18,
2.01807083829e+18, 2018070841230006784, 2018070841230005760,
2.01807084121e+18, 2.01807084121e+18, 2.01807084121e+18,
2.01807087263e+18,
2.01807087263e+18), omzet = c(898, 377, 341.1, 29.95, 1899, 48.75,
349, 36.72, 12.16, 21.74, 29.95, 23.96, 23.96, 139, 19.95, 44.97,
37.46, 18.36, 44.96, 21.95, 14.95, 46.71, 89.99, 0, 166, 52.42,
35.12, 44.99, 49.95, 429), datum_besteld = structure(c(17237,
17237, 17237, 17237, 17237, 17227, 17237, 17716, 17716, 17716,
17716, 17715, 17715, 17714, 17715, 17713, 17713, 17716, 17716,
17715, 17717, 17708, 17708, 17704, 17717, 17712, 17712, 17712,
17720, 17720), class = "Date"), datum_start_promo = structure(c(2932896,
2932896, 17232, 2932896, 2932896, 2932896, 2932896, 17712, 17713,
17713, 2932896, 17712, 17712, 2932896, 2932896, 17712, 17712,
17712, 17712, 2932896, 2932896, 17687, 2932896, 2932896, 2932896,
17712, 17712, 2932896, 2932896, 2932896), class = "Date"), datum_end_promo
= structure(c(2932896,
2932896, 17253, 2932896, 2932896, 2932896, 2932896, 17743, 17727,
17727, 2932896, 17743, 17743, 2932896, 2932896, 17743, 17743,
17743, 17743, 2932896, 2932896, 17711, 2932896, 2932896, 2932896,
17743, 17743, 2932896, 2932896, 2932896), class = "Date")), row.names =
c(NA,
30L), class = "data.frame")


sessionInfo()



sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Red Hat Enterprise Linux Server 7.5 (Maipo)

Matrix products: default
BLAS: /home/AD/jbr1ftr/.conda/envs/r-jl/lib/R/lib/libRblas.so
LAPACK: /home/AD/jbr1ftr/.conda/envs/r-jl/lib/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 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 LC_TELEPHONE=C LC_MEASUREMENT=en_US.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 xts_0.11-0 zoo_1.8-3 dygraphs_1.1.1.6 flexdashboard_0.5.1.1 iml_0.5.1 doFuture_0.6.0
[8] iterators_1.0.10 foreach_1.5.0 future_1.9.0 kableExtra_0.9.0 knitr_1.20 ruler_0.1.3 AMR_0.2.0
[15] table1_1.1 skimr_1.0.3 descriptr_0.4.1 corrr_0.3.0 plotROC_2.2.1 pROC_1.12.1 RANN_2.6
[22] caret_6.0-80 lattice_0.20-35 magrittr_1.5 odbc_1.1.6 DBI_1.0.0 glue_1.3.0 rvest_0.3.2
[29] xml2_1.2.0 httr_1.3.1 jsonlite_1.5 forcats_0.3.0 tibble_1.4.2 ggvis_0.4.3 ggplot2_3.0.0
[36] purrr_0.2.5 stringr_1.3.1 lubridate_1.7.4 dplyr_0.7.6 tidyr_0.8.1 readr_1.1.1 readxl_1.1.0
[43] RevoUtils_11.0.1 RevoUtilsMath_11.0.0

loaded via a namespace (and not attached):
[1] colorspace_1.3-2 class_7.3-14 rprojroot_1.3-2 base64enc_0.1-3 pls_2.6-0 rstudioapi_0.7 DRR_0.0.3 listenv_0.7.0 bit64_0.9-7
[10] mvtnorm_1.0-8 prodlim_2018.04.18 codetools_0.2-15 splines_3.5.1 robustbase_0.93-2 libcoin_1.0-1 RcppRoll_0.3.0 Formula_1.2-3 Metrics_0.1.4
[19] broom_0.5.0 ddalpha_1.3.4 kernlab_0.9-26 sfsmisc_1.1-2 shiny_1.1.0 compiler_3.5.1 backports_1.1.2 assertthat_0.2.0 Matrix_1.2-14
[28] lazyeval_0.2.1 later_0.7.3 htmltools_0.3.6 tools_3.5.1 partykit_1.2-2 gtable_0.2.0 reshape2_1.4.3 Rcpp_0.12.18 cellranger_1.1.0
[37] nlme_3.1-137 inum_1.0-0 timeDate_3043.102 gower_0.1.2 globals_0.12.1 mime_0.5 DEoptimR_1.0-8 MASS_7.3-50 scales_0.5.0
[46] ipred_0.9-6 hms_0.4.2 promises_1.0.1 yaml_2.2.0 rpart_4.1-13 stringi_1.2.4 checkmate_1.8.5 lava_1.6.2 geometry_0.3-6
[55] rlang_0.2.1 pkgconfig_2.0.1 evaluate_0.11 bindr_0.1.1 htmlwidgets_1.2 recipes_0.1.3 CVST_0.2-2 bit_1.1-14 tidyselect_0.2.4
[64] plyr_1.8.4 R6_2.2.2 dimRed_0.1.0 pillar_1.3.0 withr_2.1.2 survival_2.42-3 abind_1.4-5 nnet_7.3-12 crayon_1.3.4
[73] rmarkdown_1.10 grid_3.5.1 data.table_1.11.4 blob_1.1.1 ModelMetrics_1.1.0 digest_0.6.15 xtable_1.8-2 httpuv_1.4.5 keyholder_0.1.2
[82] glmnet_2.0-16 stats4_3.5.1 munsell_0.5.0 viridisLite_0.3.0 magic_1.5-8






r dplyr r-markdown knitr






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 21 '18 at 8:54







JL B

















asked Nov 21 '18 at 8:11









JL BJL B

395




395













  • Please dput a sample of your data.

    – Christoph
    Nov 21 '18 at 8:23











  • added a dput sample

    – JL B
    Nov 21 '18 at 8:57











  • Did my answer solve your problem? Then you can mark it as such...

    – Christoph
    Nov 21 '18 at 10:04











  • yes, haven't had the time yet to test it until now. Thanks for your support!

    – JL B
    Nov 23 '18 at 8:05



















  • Please dput a sample of your data.

    – Christoph
    Nov 21 '18 at 8:23











  • added a dput sample

    – JL B
    Nov 21 '18 at 8:57











  • Did my answer solve your problem? Then you can mark it as such...

    – Christoph
    Nov 21 '18 at 10:04











  • yes, haven't had the time yet to test it until now. Thanks for your support!

    – JL B
    Nov 23 '18 at 8:05

















Please dput a sample of your data.

– Christoph
Nov 21 '18 at 8:23





Please dput a sample of your data.

– Christoph
Nov 21 '18 at 8:23













added a dput sample

– JL B
Nov 21 '18 at 8:57





added a dput sample

– JL B
Nov 21 '18 at 8:57













Did my answer solve your problem? Then you can mark it as such...

– Christoph
Nov 21 '18 at 10:04





Did my answer solve your problem? Then you can mark it as such...

– Christoph
Nov 21 '18 at 10:04













yes, haven't had the time yet to test it until now. Thanks for your support!

– JL B
Nov 23 '18 at 8:05





yes, haven't had the time yet to test it until now. Thanks for your support!

– JL B
Nov 23 '18 at 8:05












2 Answers
2






active

oldest

votes


















1














I am not sure, but I guess, you forgot to include df in your file? The following scripted saved as test.Rmd worked in my case:



---
title: "Untitled"
output:
flexdashboard::flex_dashboard:
orientation: rows
vertical_layout: fill
---

```{r setup, include = FALSE}
knitr::opts_chunk$set(echo = FALSE, # display code in output
warning = FALSE, # display code warnings in document
results = 'asis', # passthrough results
error = FALSE, # display error messages in document
message = FALSE, # display code messages in document
fig.align = 'center', # type of alignment of figures
eval = TRUE # evaluate code in code chunk
)
# there are more options available to tune the way the document can be compiled.

# set global options for table output in notebook when not compiled.
options(knitr.table.format = "html")
```


```{r libraries, include = FALSE}
# library loads
library(flexdashboard)
library(dygraphs)
library(dplyr)
library(lubridate)
library(xts)
library(zoo)
library(magrittr)
```

```{r dataprep, include = FALSE}
df <- structure(list(ktk_nr_ts = c(2.01703127263e+18, 2.01703127302e+18,
2.01703127304e+18, 2.01703127263e+18, 2.01703127263e+18,
2.01703124599e+18,
2.01703127263e+18, 2.01807087263e+18, 2.01807087263e+18,
2.01807087263e+18,
2.01807087314e+18, 2.01807084123e+18, 2.01807084123e+18,
2018070836540006400,
2018070836540006400, 2.01807083747e+18, 2.01807083747e+18,
2.01807084121e+18,
2.01807084121e+18, 2.01807083637e+18, 2.01807084232e+18,
2.01807083829e+18,
2.01807083829e+18, 2018070841230006784, 2018070841230005760,
2.01807084121e+18, 2.01807084121e+18, 2.01807084121e+18,
2.01807087263e+18,
2.01807087263e+18), omzet = c(898, 377, 341.1, 29.95, 1899, 48.75,
349, 36.72, 12.16, 21.74, 29.95, 23.96, 23.96, 139, 19.95, 44.97,
37.46, 18.36, 44.96, 21.95, 14.95, 46.71, 89.99, 0, 166, 52.42,
35.12, 44.99, 49.95, 429), datum_besteld = structure(c(17237,
17237, 17237, 17237, 17237, 17227, 17237, 17716, 17716, 17716,
17716, 17715, 17715, 17714, 17715, 17713, 17713, 17716, 17716,
17715, 17717, 17708, 17708, 17704, 17717, 17712, 17712, 17712,
17720, 17720), class = "Date"), datum_start_promo = structure(c(2932896,
2932896, 17232, 2932896, 2932896, 2932896, 2932896, 17712, 17713,
17713, 2932896, 17712, 17712, 2932896, 2932896, 17712, 17712,
17712, 17712, 2932896, 2932896, 17687, 2932896, 2932896, 2932896,
17712, 17712, 2932896, 2932896, 2932896), class = "Date"), datum_end_promo
= structure(c(2932896,
2932896, 17253, 2932896, 2932896, 2932896, 2932896, 17743, 17727,
17727, 2932896, 17743, 17743, 2932896, 2932896, 17743, 17743,
17743, 17743, 2932896, 2932896, 17711, 2932896, 2932896, 2932896,
17743, 17743, 2932896, 2932896, 2932896), class = "Date")), row.names =
c(NA,
30L), class = "data.frame")

df %>%
mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
weekday = weekdays(datum_besteld),
weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
)
```


Important Note: Rmd's are really bad to debug. If you still face problems, just run the code line by line in console.






share|improve this answer































    0














    can u try the below code once



    ```{r include = FALSE}
    # create promodata
    df2<-df %>%
    mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
    datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
    weekday = weekdays(datum_besteld),
    weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
    )

    df2
    ```





    share|improve this answer
























    • hi, thank you for your reply and time. It did not work. The error is the same

      – JL B
      Nov 21 '18 at 8:56













    • is it worked? update if it worked?

      – sai saran
      Nov 21 '18 at 8:56











    • it did not work

      – JL B
      Nov 21 '18 at 9:01











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    2 Answers
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    2 Answers
    2






    active

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    active

    oldest

    votes






    active

    oldest

    votes









    1














    I am not sure, but I guess, you forgot to include df in your file? The following scripted saved as test.Rmd worked in my case:



    ---
    title: "Untitled"
    output:
    flexdashboard::flex_dashboard:
    orientation: rows
    vertical_layout: fill
    ---

    ```{r setup, include = FALSE}
    knitr::opts_chunk$set(echo = FALSE, # display code in output
    warning = FALSE, # display code warnings in document
    results = 'asis', # passthrough results
    error = FALSE, # display error messages in document
    message = FALSE, # display code messages in document
    fig.align = 'center', # type of alignment of figures
    eval = TRUE # evaluate code in code chunk
    )
    # there are more options available to tune the way the document can be compiled.

    # set global options for table output in notebook when not compiled.
    options(knitr.table.format = "html")
    ```


    ```{r libraries, include = FALSE}
    # library loads
    library(flexdashboard)
    library(dygraphs)
    library(dplyr)
    library(lubridate)
    library(xts)
    library(zoo)
    library(magrittr)
    ```

    ```{r dataprep, include = FALSE}
    df <- structure(list(ktk_nr_ts = c(2.01703127263e+18, 2.01703127302e+18,
    2.01703127304e+18, 2.01703127263e+18, 2.01703127263e+18,
    2.01703124599e+18,
    2.01703127263e+18, 2.01807087263e+18, 2.01807087263e+18,
    2.01807087263e+18,
    2.01807087314e+18, 2.01807084123e+18, 2.01807084123e+18,
    2018070836540006400,
    2018070836540006400, 2.01807083747e+18, 2.01807083747e+18,
    2.01807084121e+18,
    2.01807084121e+18, 2.01807083637e+18, 2.01807084232e+18,
    2.01807083829e+18,
    2.01807083829e+18, 2018070841230006784, 2018070841230005760,
    2.01807084121e+18, 2.01807084121e+18, 2.01807084121e+18,
    2.01807087263e+18,
    2.01807087263e+18), omzet = c(898, 377, 341.1, 29.95, 1899, 48.75,
    349, 36.72, 12.16, 21.74, 29.95, 23.96, 23.96, 139, 19.95, 44.97,
    37.46, 18.36, 44.96, 21.95, 14.95, 46.71, 89.99, 0, 166, 52.42,
    35.12, 44.99, 49.95, 429), datum_besteld = structure(c(17237,
    17237, 17237, 17237, 17237, 17227, 17237, 17716, 17716, 17716,
    17716, 17715, 17715, 17714, 17715, 17713, 17713, 17716, 17716,
    17715, 17717, 17708, 17708, 17704, 17717, 17712, 17712, 17712,
    17720, 17720), class = "Date"), datum_start_promo = structure(c(2932896,
    2932896, 17232, 2932896, 2932896, 2932896, 2932896, 17712, 17713,
    17713, 2932896, 17712, 17712, 2932896, 2932896, 17712, 17712,
    17712, 17712, 2932896, 2932896, 17687, 2932896, 2932896, 2932896,
    17712, 17712, 2932896, 2932896, 2932896), class = "Date"), datum_end_promo
    = structure(c(2932896,
    2932896, 17253, 2932896, 2932896, 2932896, 2932896, 17743, 17727,
    17727, 2932896, 17743, 17743, 2932896, 2932896, 17743, 17743,
    17743, 17743, 2932896, 2932896, 17711, 2932896, 2932896, 2932896,
    17743, 17743, 2932896, 2932896, 2932896), class = "Date")), row.names =
    c(NA,
    30L), class = "data.frame")

    df %>%
    mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
    datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
    weekday = weekdays(datum_besteld),
    weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
    )
    ```


    Important Note: Rmd's are really bad to debug. If you still face problems, just run the code line by line in console.






    share|improve this answer




























      1














      I am not sure, but I guess, you forgot to include df in your file? The following scripted saved as test.Rmd worked in my case:



      ---
      title: "Untitled"
      output:
      flexdashboard::flex_dashboard:
      orientation: rows
      vertical_layout: fill
      ---

      ```{r setup, include = FALSE}
      knitr::opts_chunk$set(echo = FALSE, # display code in output
      warning = FALSE, # display code warnings in document
      results = 'asis', # passthrough results
      error = FALSE, # display error messages in document
      message = FALSE, # display code messages in document
      fig.align = 'center', # type of alignment of figures
      eval = TRUE # evaluate code in code chunk
      )
      # there are more options available to tune the way the document can be compiled.

      # set global options for table output in notebook when not compiled.
      options(knitr.table.format = "html")
      ```


      ```{r libraries, include = FALSE}
      # library loads
      library(flexdashboard)
      library(dygraphs)
      library(dplyr)
      library(lubridate)
      library(xts)
      library(zoo)
      library(magrittr)
      ```

      ```{r dataprep, include = FALSE}
      df <- structure(list(ktk_nr_ts = c(2.01703127263e+18, 2.01703127302e+18,
      2.01703127304e+18, 2.01703127263e+18, 2.01703127263e+18,
      2.01703124599e+18,
      2.01703127263e+18, 2.01807087263e+18, 2.01807087263e+18,
      2.01807087263e+18,
      2.01807087314e+18, 2.01807084123e+18, 2.01807084123e+18,
      2018070836540006400,
      2018070836540006400, 2.01807083747e+18, 2.01807083747e+18,
      2.01807084121e+18,
      2.01807084121e+18, 2.01807083637e+18, 2.01807084232e+18,
      2.01807083829e+18,
      2.01807083829e+18, 2018070841230006784, 2018070841230005760,
      2.01807084121e+18, 2.01807084121e+18, 2.01807084121e+18,
      2.01807087263e+18,
      2.01807087263e+18), omzet = c(898, 377, 341.1, 29.95, 1899, 48.75,
      349, 36.72, 12.16, 21.74, 29.95, 23.96, 23.96, 139, 19.95, 44.97,
      37.46, 18.36, 44.96, 21.95, 14.95, 46.71, 89.99, 0, 166, 52.42,
      35.12, 44.99, 49.95, 429), datum_besteld = structure(c(17237,
      17237, 17237, 17237, 17237, 17227, 17237, 17716, 17716, 17716,
      17716, 17715, 17715, 17714, 17715, 17713, 17713, 17716, 17716,
      17715, 17717, 17708, 17708, 17704, 17717, 17712, 17712, 17712,
      17720, 17720), class = "Date"), datum_start_promo = structure(c(2932896,
      2932896, 17232, 2932896, 2932896, 2932896, 2932896, 17712, 17713,
      17713, 2932896, 17712, 17712, 2932896, 2932896, 17712, 17712,
      17712, 17712, 2932896, 2932896, 17687, 2932896, 2932896, 2932896,
      17712, 17712, 2932896, 2932896, 2932896), class = "Date"), datum_end_promo
      = structure(c(2932896,
      2932896, 17253, 2932896, 2932896, 2932896, 2932896, 17743, 17727,
      17727, 2932896, 17743, 17743, 2932896, 2932896, 17743, 17743,
      17743, 17743, 2932896, 2932896, 17711, 2932896, 2932896, 2932896,
      17743, 17743, 2932896, 2932896, 2932896), class = "Date")), row.names =
      c(NA,
      30L), class = "data.frame")

      df %>%
      mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
      datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
      weekday = weekdays(datum_besteld),
      weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
      )
      ```


      Important Note: Rmd's are really bad to debug. If you still face problems, just run the code line by line in console.






      share|improve this answer


























        1












        1








        1







        I am not sure, but I guess, you forgot to include df in your file? The following scripted saved as test.Rmd worked in my case:



        ---
        title: "Untitled"
        output:
        flexdashboard::flex_dashboard:
        orientation: rows
        vertical_layout: fill
        ---

        ```{r setup, include = FALSE}
        knitr::opts_chunk$set(echo = FALSE, # display code in output
        warning = FALSE, # display code warnings in document
        results = 'asis', # passthrough results
        error = FALSE, # display error messages in document
        message = FALSE, # display code messages in document
        fig.align = 'center', # type of alignment of figures
        eval = TRUE # evaluate code in code chunk
        )
        # there are more options available to tune the way the document can be compiled.

        # set global options for table output in notebook when not compiled.
        options(knitr.table.format = "html")
        ```


        ```{r libraries, include = FALSE}
        # library loads
        library(flexdashboard)
        library(dygraphs)
        library(dplyr)
        library(lubridate)
        library(xts)
        library(zoo)
        library(magrittr)
        ```

        ```{r dataprep, include = FALSE}
        df <- structure(list(ktk_nr_ts = c(2.01703127263e+18, 2.01703127302e+18,
        2.01703127304e+18, 2.01703127263e+18, 2.01703127263e+18,
        2.01703124599e+18,
        2.01703127263e+18, 2.01807087263e+18, 2.01807087263e+18,
        2.01807087263e+18,
        2.01807087314e+18, 2.01807084123e+18, 2.01807084123e+18,
        2018070836540006400,
        2018070836540006400, 2.01807083747e+18, 2.01807083747e+18,
        2.01807084121e+18,
        2.01807084121e+18, 2.01807083637e+18, 2.01807084232e+18,
        2.01807083829e+18,
        2.01807083829e+18, 2018070841230006784, 2018070841230005760,
        2.01807084121e+18, 2.01807084121e+18, 2.01807084121e+18,
        2.01807087263e+18,
        2.01807087263e+18), omzet = c(898, 377, 341.1, 29.95, 1899, 48.75,
        349, 36.72, 12.16, 21.74, 29.95, 23.96, 23.96, 139, 19.95, 44.97,
        37.46, 18.36, 44.96, 21.95, 14.95, 46.71, 89.99, 0, 166, 52.42,
        35.12, 44.99, 49.95, 429), datum_besteld = structure(c(17237,
        17237, 17237, 17237, 17237, 17227, 17237, 17716, 17716, 17716,
        17716, 17715, 17715, 17714, 17715, 17713, 17713, 17716, 17716,
        17715, 17717, 17708, 17708, 17704, 17717, 17712, 17712, 17712,
        17720, 17720), class = "Date"), datum_start_promo = structure(c(2932896,
        2932896, 17232, 2932896, 2932896, 2932896, 2932896, 17712, 17713,
        17713, 2932896, 17712, 17712, 2932896, 2932896, 17712, 17712,
        17712, 17712, 2932896, 2932896, 17687, 2932896, 2932896, 2932896,
        17712, 17712, 2932896, 2932896, 2932896), class = "Date"), datum_end_promo
        = structure(c(2932896,
        2932896, 17253, 2932896, 2932896, 2932896, 2932896, 17743, 17727,
        17727, 2932896, 17743, 17743, 2932896, 2932896, 17743, 17743,
        17743, 17743, 2932896, 2932896, 17711, 2932896, 2932896, 2932896,
        17743, 17743, 2932896, 2932896, 2932896), class = "Date")), row.names =
        c(NA,
        30L), class = "data.frame")

        df %>%
        mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
        datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
        weekday = weekdays(datum_besteld),
        weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
        )
        ```


        Important Note: Rmd's are really bad to debug. If you still face problems, just run the code line by line in console.






        share|improve this answer













        I am not sure, but I guess, you forgot to include df in your file? The following scripted saved as test.Rmd worked in my case:



        ---
        title: "Untitled"
        output:
        flexdashboard::flex_dashboard:
        orientation: rows
        vertical_layout: fill
        ---

        ```{r setup, include = FALSE}
        knitr::opts_chunk$set(echo = FALSE, # display code in output
        warning = FALSE, # display code warnings in document
        results = 'asis', # passthrough results
        error = FALSE, # display error messages in document
        message = FALSE, # display code messages in document
        fig.align = 'center', # type of alignment of figures
        eval = TRUE # evaluate code in code chunk
        )
        # there are more options available to tune the way the document can be compiled.

        # set global options for table output in notebook when not compiled.
        options(knitr.table.format = "html")
        ```


        ```{r libraries, include = FALSE}
        # library loads
        library(flexdashboard)
        library(dygraphs)
        library(dplyr)
        library(lubridate)
        library(xts)
        library(zoo)
        library(magrittr)
        ```

        ```{r dataprep, include = FALSE}
        df <- structure(list(ktk_nr_ts = c(2.01703127263e+18, 2.01703127302e+18,
        2.01703127304e+18, 2.01703127263e+18, 2.01703127263e+18,
        2.01703124599e+18,
        2.01703127263e+18, 2.01807087263e+18, 2.01807087263e+18,
        2.01807087263e+18,
        2.01807087314e+18, 2.01807084123e+18, 2.01807084123e+18,
        2018070836540006400,
        2018070836540006400, 2.01807083747e+18, 2.01807083747e+18,
        2.01807084121e+18,
        2.01807084121e+18, 2.01807083637e+18, 2.01807084232e+18,
        2.01807083829e+18,
        2.01807083829e+18, 2018070841230006784, 2018070841230005760,
        2.01807084121e+18, 2.01807084121e+18, 2.01807084121e+18,
        2.01807087263e+18,
        2.01807087263e+18), omzet = c(898, 377, 341.1, 29.95, 1899, 48.75,
        349, 36.72, 12.16, 21.74, 29.95, 23.96, 23.96, 139, 19.95, 44.97,
        37.46, 18.36, 44.96, 21.95, 14.95, 46.71, 89.99, 0, 166, 52.42,
        35.12, 44.99, 49.95, 429), datum_besteld = structure(c(17237,
        17237, 17237, 17237, 17237, 17227, 17237, 17716, 17716, 17716,
        17716, 17715, 17715, 17714, 17715, 17713, 17713, 17716, 17716,
        17715, 17717, 17708, 17708, 17704, 17717, 17712, 17712, 17712,
        17720, 17720), class = "Date"), datum_start_promo = structure(c(2932896,
        2932896, 17232, 2932896, 2932896, 2932896, 2932896, 17712, 17713,
        17713, 2932896, 17712, 17712, 2932896, 2932896, 17712, 17712,
        17712, 17712, 2932896, 2932896, 17687, 2932896, 2932896, 2932896,
        17712, 17712, 2932896, 2932896, 2932896), class = "Date"), datum_end_promo
        = structure(c(2932896,
        2932896, 17253, 2932896, 2932896, 2932896, 2932896, 17743, 17727,
        17727, 2932896, 17743, 17743, 2932896, 2932896, 17743, 17743,
        17743, 17743, 2932896, 2932896, 17711, 2932896, 2932896, 2932896,
        17743, 17743, 2932896, 2932896, 2932896), class = "Date")), row.names =
        c(NA,
        30L), class = "data.frame")

        df %>%
        mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
        datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
        weekday = weekdays(datum_besteld),
        weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
        )
        ```


        Important Note: Rmd's are really bad to debug. If you still face problems, just run the code line by line in console.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 21 '18 at 9:36









        ChristophChristoph

        2,85921942




        2,85921942

























            0














            can u try the below code once



            ```{r include = FALSE}
            # create promodata
            df2<-df %>%
            mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
            datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
            weekday = weekdays(datum_besteld),
            weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
            )

            df2
            ```





            share|improve this answer
























            • hi, thank you for your reply and time. It did not work. The error is the same

              – JL B
              Nov 21 '18 at 8:56













            • is it worked? update if it worked?

              – sai saran
              Nov 21 '18 at 8:56











            • it did not work

              – JL B
              Nov 21 '18 at 9:01
















            0














            can u try the below code once



            ```{r include = FALSE}
            # create promodata
            df2<-df %>%
            mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
            datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
            weekday = weekdays(datum_besteld),
            weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
            )

            df2
            ```





            share|improve this answer
























            • hi, thank you for your reply and time. It did not work. The error is the same

              – JL B
              Nov 21 '18 at 8:56













            • is it worked? update if it worked?

              – sai saran
              Nov 21 '18 at 8:56











            • it did not work

              – JL B
              Nov 21 '18 at 9:01














            0












            0








            0







            can u try the below code once



            ```{r include = FALSE}
            # create promodata
            df2<-df %>%
            mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
            datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
            weekday = weekdays(datum_besteld),
            weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
            )

            df2
            ```





            share|improve this answer













            can u try the below code once



            ```{r include = FALSE}
            # create promodata
            df2<-df %>%
            mutate(promo_active = if_else((datum_besteld >= datum_start_promo &
            datum_besteld <= datum_end_promo), 1, 0, missing = NULL),
            weekday = weekdays(datum_besteld),
            weekend = if_else(weekday == "Saturday" | weekday == "Sunday", 1, 0, missing = NULL)
            )

            df2
            ```






            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Nov 21 '18 at 8:46









            sai saransai saran

            356224




            356224













            • hi, thank you for your reply and time. It did not work. The error is the same

              – JL B
              Nov 21 '18 at 8:56













            • is it worked? update if it worked?

              – sai saran
              Nov 21 '18 at 8:56











            • it did not work

              – JL B
              Nov 21 '18 at 9:01



















            • hi, thank you for your reply and time. It did not work. The error is the same

              – JL B
              Nov 21 '18 at 8:56













            • is it worked? update if it worked?

              – sai saran
              Nov 21 '18 at 8:56











            • it did not work

              – JL B
              Nov 21 '18 at 9:01

















            hi, thank you for your reply and time. It did not work. The error is the same

            – JL B
            Nov 21 '18 at 8:56







            hi, thank you for your reply and time. It did not work. The error is the same

            – JL B
            Nov 21 '18 at 8:56















            is it worked? update if it worked?

            – sai saran
            Nov 21 '18 at 8:56





            is it worked? update if it worked?

            – sai saran
            Nov 21 '18 at 8:56













            it did not work

            – JL B
            Nov 21 '18 at 9:01





            it did not work

            – JL B
            Nov 21 '18 at 9:01


















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