Hi, I have an issue which seems to occur randomly since upgrade from 1.0.5 to 1.1.0. I tried to isolate it without success. It seems to be linked to my slow server running on Ubuntu 16.04 with shiny server, as locally, I don't get any error.
I don't have Cairo installed (therefore pngfun is grDevice::png)
Warning: Error in pngfun: argument 'width' incorrect
123: pngfun
122: startPNG
121: drawPlot
107: <reactive:plotObj>
91: drawReactive
78: origRenderFunc
77: output$distribVars
1: shiny::runApp
My renderPlot function does not contain any other argument than expr
output$distribVars <- renderPlot({
value$plot_distrib
})
KZARCA
All 10 comments
Hi, thanks for the question. Could you include sessionInfo(), and a small app that reproduces this problem?
tmastny
on 1 Aug 2018
Hi,
I tried to make a reproducible example, but the issue seems to happen randomly on my app. Here is my sessionInfo:
Session info -------------------------------------------------------
setting value
version R version 3.4.4 (2018-03-15)
system x86_64, linux-gnu
ui RStudio (1.1.442)
language fr_FR
collate fr_FR.UTF-8
tz Europe/Paris
date 2018-08-01
Packages -----------------------------------------------------------
package * version date source
abind 1.4-5 2016-07-21 CRAN (R 3.4.4)
arm * 1.10-1 2018-04-13 cran (@1.10-1)
assertthat 0.2.0 2017-04-11 CRAN (R 3.4.4)
backports 1.1.2 2017-12-13 CRAN (R 3.4.4)
base * 3.4.4 2018-03-16 local
bindr 0.1.1 2018-03-13 cran (@0.1.1)
bindrcpp 0.2.2 2018-03-29 cran (@0.2.2)
boot * 1.3-20 2017-07-30 CRAN (R 3.4.4)
broom * 0.4.4 2018-03-29 cran (@0.4.4)
car * 3.0-0 2018-04-02 cran (@3.0-0)
carData * 3.0-1 2018-03-28 cran (@3.0-1)
cellranger 1.1.0 2016-07-27 CRAN (R 3.4.4)
cli 1.0.0 2017-11-05 CRAN (R 3.4.4)
coda 0.19-1 2016-12-08 CRAN (R 3.4.4)
colorspace 1.3-2 2016-12-14 CRAN (R 3.4.4)
compiler 3.4.4 2018-03-16 local
crayon 1.3.4 2017-09-16 CRAN (R 3.4.4)
curl 3.2 2018-03-28 cran (@3.2)
data.table 1.10.4-3 2017-10-27 cran (@1.10.4-)
datasets * 3.4.4 2018-03-16 local
DBI * 1.0.0 2018-05-02 cran (@1.0.0)
dbplyr 1.2.1 2018-02-19 cran (@1.2.1)
devtools * 1.13.5 2018-02-18 CRAN (R 3.4.4)
digest 0.6.15 2018-01-28 CRAN (R 3.4.4)
dplyr * 0.7.5 2018-05-19 cran (@0.7.5)
evaluate 0.10.1 2017-06-24 CRAN (R 3.4.4)
forcats * 0.3.0 2018-02-19 cran (@0.3.0)
foreign 0.8-70 2018-04-23 CRAN (R 3.4.4)
GGally * 1.4.0 2018-05-17 cran (@1.4.0)
ggplot2 * 2.2.1 2016-12-30 CRAN (R 3.4.4)
glue 1.2.0 2017-10-29 CRAN (R 3.4.4)
graphics * 3.4.4 2018-03-16 local
grDevices * 3.4.4 2018-03-16 local
grid 3.4.4 2018-03-16 local
gtable 0.2.0 2016-02-26 CRAN (R 3.4.4)
haven 1.1.1 2018-01-18 CRAN (R 3.4.4)
hms 0.4.1 2018-01-24 CRAN (R 3.4.4)
htmltools 0.3.6 2017-04-28 CRAN (R 3.4.4)
httpuv 1.4.3 2018-05-10 CRAN (R 3.4.4)
httr 1.3.1 2017-08-20 CRAN (R 3.4.4)
jomo 2.6-2 2018-04-26 cran (@2.6-2)
jsonlite 1.5 2017-06-01 CRAN (R 3.4.4)
knitr 1.20 2018-02-20 cran (@1.20)
later 0.7.2 2018-05-01 CRAN (R 3.4.4)
lattice * 0.20-35 2017-03-25 CRAN (R 3.4.4)
lazyeval 0.2.1 2017-10-29 CRAN (R 3.4.4)
lme4 * 1.1-17 2018-04-03 cran (@1.1-17)
lubridate 1.7.3 2018-02-27 CRAN (R 3.4.4)
magrittr * 1.5 2014-11-22 CRAN (R 3.4.4)
MASS * 7.3-50 2018-04-30 CRAN (R 3.4.4)
Matrix * 1.2-14 2018-04-09 CRAN (R 3.4.4)
memoise 1.1.0 2017-04-21 CRAN (R 3.4.3)
methods * 3.4.4 2018-03-16 local
mgcv * 1.8-23 2018-01-15 CRAN (R 3.4.4)
mice * 3.0.0 2018-05-25 cran (@3.0.0)
mime 0.5 2016-07-07 CRAN (R 3.4.4)
minqa 1.2.4 2014-10-09 CRAN (R 3.4.4)
mitml 0.3-5 2017-03-15 cran (@0.3-5)
mnormt 1.5-5 2016-10-15 CRAN (R 3.4.4)
modelr 0.1.1 2017-07-24 CRAN (R 3.4.4)
munsell 0.4.3 2016-02-13 CRAN (R 3.4.4)
nlme * 3.1-137 2018-04-07 CRAN (R 3.4.4)
nloptr 1.0.4 2017-08-22 CRAN (R 3.4.4)
nnet 7.3-12 2016-02-02 CRAN (R 3.4.4)
openxlsx 4.0.17 2017-03-23 cran (@4.0.17)
packrat 0.4.8-1 2016-09-07 CRAN (R 3.4.4)
pan 1.4 2016-02-10 cran (@1.4)
pander 0.6.1 2017-08-06 CRAN (R 3.4.4)
parallel 3.4.4 2018-03-16 local
pillar 1.2.1 2018-02-27 CRAN (R 3.4.4)
pkgconfig 2.0.1 2017-03-21 CRAN (R 3.4.4)
plyr 1.8.4 2016-06-08 CRAN (R 3.4.4)
pool * 0.1.4 2018-03-10 cran (@0.1.4)
promises 1.0.1 2018-04-13 CRAN (R 3.4.4)
psych 1.8.4 2018-05-06 cran (@1.8.4)
purrr * 0.2.4 2017-10-18 CRAN (R 3.4.4)
R6 * 2.2.2 2017-06-17 CRAN (R 3.4.4)
RColorBrewer 1.1-2 2014-12-07 CRAN (R 3.4.4)
Rcpp 0.12.17 2018-05-18 cran (@0.12.17)
readr * 1.1.1 2017-05-16 CRAN (R 3.4.4)
readxl * 1.1.0 2018-04-20 cran (@1.1.0)
reshape 0.8.7 2017-08-06 CRAN (R 3.4.4)
reshape2 1.4.3 2017-12-11 CRAN (R 3.4.4)
rio 0.5.10 2018-03-29 cran (@0.5.10)
rlang * 0.2.0 2018-02-20 CRAN (R 3.4.4)
rmarkdown * 1.9 2018-03-01 cran (@1.9)
RMySQL * 0.10.15 2018-05-13 cran (@0.10.15)
rpart 4.1-13 2018-02-23 CRAN (R 3.4.4)
rprojroot 1.3-2 2018-01-03 CRAN (R 3.4.4)
rstudioapi 0.7 2017-09-07 CRAN (R 3.4.4)
rvest 0.3.2 2016-06-17 CRAN (R 3.4.4)
scales * 0.5.0 2017-08-24 CRAN (R 3.4.4)
shiny * 1.1.0 2018-05-17 cran (@1.1.0)
shinydashboard * 0.7.0 2018-03-21 cran (@0.7.0)
shinyjs * 1.0 2018-01-08 cran (@1.0)
shinytoastr * 2.1.1 2016-06-06 CRAN (R 3.4.4)
splines * 3.4.4 2018-03-16 local
stats * 3.4.4 2018-03-16 local
stringi 1.2.2 2018-05-02 cran (@1.2.2)
stringr * 1.3.1 2018-05-10 cran (@1.3.1)
survival * 2.42-3 2018-04-16 CRAN (R 3.4.4)
tibble * 1.4.2 2018-01-22 cran (@1.4.2)
tidyr * 0.8.0 2018-01-29 cran (@0.8.0)
tidyselect 0.2.4 2018-02-26 CRAN (R 3.4.4)
tidyverse * 1.2.1 2017-11-14 CRAN (R 3.4.4)
tools 3.4.4 2018-03-16 local
utils * 3.4.4 2018-03-16 local
V8 1.5 2017-04-25 CRAN (R 3.4.4)
withr 2.1.2 2018-03-15 CRAN (R 3.4.4)
xml2 1.2.0 2018-01-24 CRAN (R 3.4.4)
xtable 1.8-2 2016-02-05 CRAN (R 3.4.4)
yaml 2.1.19 2018-05-01 cran (@2.1.19)
Even if the issue happens randomly, it would still be helpful for us to see a small, self-contained example Shiny app that the problems occurs in so we know where to look.
tmastny
on 3 Aug 2018
I see the same issue happening when starting up my app and the div that contains said plot is not yet visible, since its renderUI hasn't been called.
wiwie
on 13 Sep 2018
Hi, I am encountering the same issue (identical trace). I have copied in an example and also the session info.
```library(shiny)
library(shinydashboard)
UI Definition - Dashboard page with 'shinydashbard'
ui <- dashboardPage(
# Header config
dashboardHeader(title = "Multi tabbed Example"),
# Sidebar config
dashboardSidebar(
#Add sidebar menu with menu items
sidebarMenu(
menuItem("Geysir Histograms", tabName = "Geysir", icon = icon("scale", lib = "glyphicon"))
)
),
# Main Body of the dashboard
dashboardBody(
tabItems(
tabItem(
tabName = "Geysir",
fluidRow(
column(
width = 6,
box(
title = "Select number of bins",
solidHeader = TRUE,
collapsible = TRUE,
width = NULL,
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30)
), box(
title = "PLOT GEYSIR",
solidHeader = TRUE,
collapsible = FALSE,
width = 5,
uiOutput("distPlot")
)
)
) # fluidrow
)
)
) # dashboardBody
) # end dashboard page
Define server logic required to draw a histogram
server <- function(input, output, session) {
observe({
update_geysir_react() # reactive functions , each in a new lne no comma
plot_geysir()
})
update_geysir_react <- reactive({
updateSliderInput(session, "bins")
})
plot_geysir <- reactive({
output$distPlot <- renderPlot({
# generate bins based on input$bins from ui.R
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1)
# draw the histogram with the specified number of bins
hist(x, breaks = bins, col = 'darkgray', border = 'white')
})
})
}
shinyApp(ui, server)
SessionInfo output:
R version 3.5.1 (2018-07-02)
Platform: x86_64-suse-linux-gnu (64-bit)
Running under: SUSE Linux Enterprise Server 12 SP3
Matrix products: default
BLAS: /usr/lib64/R/lib/libRblas.so
LAPACK: /usr/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 LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 LC_PAPER=en_US.UTF-8
[8] LC_NAME=C 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] shinydashboard_0.7.0 LoadRunneR_0.1.0 lubridate_1.7.4 reshape_0.8.7 psych_1.8.4 DT_0.4 shiny_1.1.0 doBy_4.6-2 plotly_4.8.0
[10] data.table_1.11.4 ggthemes_4.0.1 devtools_1.13.6 pander_0.6.2 knitr_1.20 RODBC_1.3-15 sqldf_0.4-11 RSQLite_2.1.1 gsubfn_0.7
[19] proto_1.0.0 scales_1.0.0 stringr_1.3.1 tidyr_0.8.1 dplyr_0.7.6 ggplot2_3.0.0 gdata_2.18.0 RPostgreSQL_0.6-2 DBI_1.0.0
loaded via a namespace (and not attached):
[1] httr_1.3.1 bit64_0.9-7 jsonlite_1.5 viridisLite_0.3.0 gtools_3.8.1 assertthat_0.2.0 blob_1.1.1 yaml_2.1.19 pillar_1.3.0
[10] backports_1.1.2 lattice_0.20-35 glue_1.3.0 chron_2.3-52 digest_0.6.17 promises_1.0.1 colorspace_1.3-2 httpuv_1.4.5 htmltools_0.3.6
[19] Matrix_1.2-14 plyr_1.8.4 pkgconfig_2.0.1 flexdashboard_0.5.1.1 xtable_1.8-2 purrr_0.2.5 later_0.7.3 tibble_1.4.2 withr_2.1.2
[28] sourcetools_0.1.7 lazyeval_0.2.1 mnormt_1.5-5 mime_0.5 magrittr_1.5 crayon_1.3.4 memoise_1.1.0 evaluate_0.11 nlme_3.1-137
[37] MASS_7.3-50 xml2_1.2.0 foreign_0.8-70 tools_3.5.1 munsell_0.5.0 bindrcpp_0.2.2 packrat_0.4.9-3 compiler_3.5.1 rlang_0.2.2
[46] grid_3.5.1 rstudioapi_0.7 htmlwidgets_1.2 tcltk_3.5.1 rmarkdown_1.10 gtable_0.2.0 roxygen2_6.1.0 R6_2.2.2 bit_1.1-14
[55] bindr_0.1.1 commonmark_1.5 rprojroot_1.3-2 stringi_1.2.4 parallel_3.5.1 Rcpp_0.12.18 tidyselect_0.2.4
```
ChristianGeng
on 13 Sep 2018
@wiwie It shouldn't attempt to render the plot if it isn't visible, are you using outputOptions to stop suppressing output?
@ChristianGeng I think that's just what happens when the div is too small for quartz to try drawing a plot, can you make it bigger?
jcheng5
on 14 Sep 2018
Yes that is true, I was indeed using it. Removing it fixed it for me.
On 14 September 2018 19:00:46 Joe Cheng notifications@github.com wrote:
@wiwie It shouldn't attempt to render the plot if it isn't visible, are you
using outputOptions to stop suppressing output?
@ChristianGeng I think that's just what happens when the div is too small
for quartz to try drawing a plot, can you make it bigger?
—
You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub, or mute the thread.
wiwie
on 14 Sep 2018
Thanks very much for the help! It size of div hint helped me to figure it out: I replaced the line "uiOutput("distPlot")" with "plotOutput("distPlot")" in above example. That fixed it for me.
ChristianGeng
on 17 Sep 2018
Hello, I am having the same problem as @ChristianGeng.
Exactly the same error message.
Could somebody help me, please?
Thank you very much in advance.
~~~
library(shiny)
library(ggplot2)
ui <- fluidPage(
# App title ----
titlePanel("Hello Shiny!"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Slider for the number of bins ----
sliderInput(inputId = "bins",
label = "Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Main panel for displaying outputs ----
mainPanel(
# Output: Histogram ----
plotOutput(outputId = "distPlot")
#img(src = "name.png", height = 140, width = 400)
)
)
)
Define server logic required to draw a histogram ----
server <- function(input, output) {
# Histogram of the Old Faithful Geyser Data ----
# with requested number of bins
# This expression that generates a histogram is wrapped in a call
# to renderPlot to indicate that:
#
# 1. It is "reactive" and therefore should be automatically
# re-executed when inputs (input$bins) change
# 2. Its output type is a plot
output$distPlot <- renderPlot({
#png(filename="./www/name.png")
x <- faithful$waiting
bins <- seq(min(x), max(x), length.out = input$bins + 1)
#qplot(x, geom="histogram")
hist(x, breaks = bins, col = "#75AADB", border = "white",
xlab = "Waiting time to next eruption (in mins)",
main = "Histogram of waiting times")
#cat(file=stderr(), "drawing histogram with", input$bins, "bins", "\n")
#dev.off()
})
}
shinyApp(ui = ui, server = server)
~~~
Error:
~
Listening on http://127.0.0.1:5441
Warning: Error in pngfun: invalid 'width' argument
Stack trace (innermost first):
90:
79: plotObj
78: origRenderFunc
77: output$distPlot
1: runApp
~
~~~
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: /home/alex/anaconda2/lib/R/lib/libRblas.so
LAPACK: /home/alex/anaconda2/lib/R/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=fr_FR.UTF-8 LC_TIME=fr_FR.UTF-8 LC_COLLATE=en_US.UTF-8 LC_MONETARY=fr_FR.UTF-8
[6] LC_MESSAGES=en_US.UTF-8 LC_PAPER=fr_FR.UTF-8 LC_NAME=fr_FR.UTF-8 LC_ADDRESS=fr_FR.UTF-8 LC_TELEPHONE=fr_FR.UTF-8
[11] LC_MEASUREMENT=fr_FR.UTF-8 LC_IDENTIFICATION=fr_FR.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggplot2_3.0.0 shiny_1.0.5
loaded via a namespace (and not attached):
[1] Rcpp_0.12.18 rstudioapi_0.7 bindr_0.1.1 magrittr_1.5 tidyselect_0.2.4 munsell_0.5.0 colorspace_1.3-2 xtable_1.8-2 R6_2.2.2
[10] rlang_0.2.1 plyr_1.8.4 dplyr_0.7.6 tools_3.5.1 grid_3.5.1 gtable_0.2.0 withr_2.1.2 htmltools_0.3.6 assertthat_0.2.0
[19] yaml_2.2.0 lazyeval_0.2.1 digest_0.6.15 tibble_1.4.2 crayon_1.3.4 bindrcpp_0.2.2 purrr_0.2.5 later_0.7.3 promises_1.0.1
[28] glue_1.3.0 mime_0.5 compiler_3.5.1 pillar_1.3.0 scales_0.5.0 jsonlite_1.5 httpuv_1.4.5 pkgconfig_2.0.1
~~~
alexanderbuchholz
on 2 Oct 2018
This might help some people.
I had a similar issue when trying to style my app using divs and css.
The workaround or fix was to explicitly set the width of the div (fixed pixels or %) so that (I'm guessing here) the rendering process has a predefined width/height to work with.
Note: my plot outputs only have height defined server side.
kmurchison
on 22 Jul 2020
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Most helpful comment
Hello, I am having the same problem as @ChristianGeng.
Exactly the same error message.
Could somebody help me, please?
Thank you very much in advance.
~~~
library(shiny)
library(ggplot2)
ui <- fluidPage(
# App title ----
titlePanel("Hello Shiny!"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
)
)
Define server logic required to draw a histogram ----
server <- function(input, output) {
# Histogram of the Old Faithful Geyser Data ----
# with requested number of bins
# This expression that generates a histogram is wrapped in a call
# to renderPlot to indicate that:
#
# 1. It is "reactive" and therefore should be automatically
# re-executed when inputs (input$bins) change
# 2. Its output type is a plot
output$distPlot <- renderPlot({
#png(filename="./www/name.png")
})
}
shinyApp(ui = ui, server = server)
~~~
Error:
~Listening on http://127.0.0.1:5441
Warning: Error in pngfun: invalid 'width' argument
Stack trace (innermost first):
90:
79: plotObj
78: origRenderFunc
77: output$distPlot
1: runApp
~
~~~
Matrix products: default
BLAS: /home/alex/anaconda2/lib/R/lib/libRblas.so
LAPACK: /home/alex/anaconda2/lib/R/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=fr_FR.UTF-8 LC_TIME=fr_FR.UTF-8 LC_COLLATE=en_US.UTF-8 LC_MONETARY=fr_FR.UTF-8
[6] LC_MESSAGES=en_US.UTF-8 LC_PAPER=fr_FR.UTF-8 LC_NAME=fr_FR.UTF-8 LC_ADDRESS=fr_FR.UTF-8 LC_TELEPHONE=fr_FR.UTF-8
[11] LC_MEASUREMENT=fr_FR.UTF-8 LC_IDENTIFICATION=fr_FR.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggplot2_3.0.0 shiny_1.0.5
loaded via a namespace (and not attached):
[1] Rcpp_0.12.18 rstudioapi_0.7 bindr_0.1.1 magrittr_1.5 tidyselect_0.2.4 munsell_0.5.0 colorspace_1.3-2 xtable_1.8-2 R6_2.2.2
[10] rlang_0.2.1 plyr_1.8.4 dplyr_0.7.6 tools_3.5.1 grid_3.5.1 gtable_0.2.0 withr_2.1.2 htmltools_0.3.6 assertthat_0.2.0
[19] yaml_2.2.0 lazyeval_0.2.1 digest_0.6.15 tibble_1.4.2 crayon_1.3.4 bindrcpp_0.2.2 purrr_0.2.5 later_0.7.3 promises_1.0.1
[28] glue_1.3.0 mime_0.5 compiler_3.5.1 pillar_1.3.0 scales_0.5.0 jsonlite_1.5 httpuv_1.4.5 pkgconfig_2.0.1
~~~