Dear All,
I have an app ui.R, server.R both reopened with UTF-8. it contains some titles in korean alphabets for example
titlePanel(title = "리모델링 v1.1")
the application run fine when
> getOption("encoding")
[1] "native.enc"
but cannot deploy it shoes this error
Failed to lint file 'server.R'
The linter failed with message:
invalid multibyte string at '<eb><8d><b8>留<81> <ed>썑 <ec>꽭<eb><8c>�<ec>닔 利앷<b0>�", "2. [踰뺢퇋] 由щえ<eb>뜽留<81> <ed>썑 <ec>쟾<ec>슜硫댁쟻 利앷<b0>�: 85m2 誘몃쭔","3. [踰뺢퇋] 由щえ<eb>뜽留<81> <ed>썑 <ec>쟾<ec>슜硫댁쟻 利앷<b0>�: 85m2 <ec>씠<ec>긽","4. [蹂댁젙怨꾩닔] 由щえ<eb>뜽留<81> <ed>썑 <ec>슜<ec>쟻瑜<a0> <ec>궛異쒓퀎<ec>닔", "5. [蹂댁젙怨꾩닔] 由щえ<eb>뜽留<81> <ed>썑 吏�<ed>븯二쇱감 1<eb><8c>�<eb>떦 硫댁쟻 <ec>궛異쒓퀎<ec>닔: 吏�<ed>븯二쇱감<ec>옣 1痢<b5> <ec>씠<ed>븯", "6. [蹂댁젙怨꾩닔] 由щえ<eb>뜽留<81> <ed>썑 吏�<ed>븯二쇱감 1<eb><8c>�<eb>떦 硫댁쟻 <ec>궛異쒓퀎<ec>닔: 吏�<ed>븯二쇱감<ec>옣 2痢<b5> <ec>씠<ec>긽", "7. [怨듭궗鍮<84>] <ed>룊<eb>떦 <eb>룄湲됯났<ec>궗鍮<84>: <ec>슜<ec>쟻瑜<a0> 280% <ec>씠<ec>긽", "8. [怨듭궗鍮<84>] <ed>룊<eb>떦 <eb>룄湲됯났<ec>궗鍮<84>: <ec>슜<ec>쟻瑜<a0> 250% <ec>씠<ec>긽 280% 誘몃쭔", "9. [怨듭궗鍮<84>] <ed>룊<eb>떦 <eb>룄湲됯났<ec>궗鍮<84>: <ec>슜<ec>쟻瑜<a0> 250% 誘몃쭔", "10. [<ec>궗<ec>뾽異붿쭊鍮<84>] <ed>룊<eb>떦 媛곸쥌 <ec>궗
Failed to lint file 'ui.R'
The linter failed with message:
invalid multibyte string at '<eb><8d><b8>留<81> <ec>궗<ec>뾽<ec>꽦 <ec>쁺<ed>뼢<ec>슂<ec>씤 <e2>�섎<b3>�<eb>룞媛믠�<99> <ec>꽕<ec>젙 v1.1"),'
Failed to lint file 'server.R'
The linter failed with message:
invalid multibyte string at '<eb><8d><b8>留<81> <ed>썑 <ec>꽭<eb><8c>�<ec>닔 利앷<b0>�", "2. [踰뺢퇋] 由щえ<eb>뜽留<81> <ed>썑 <ec>쟾<ec>슜硫댁쟻 利앷<b0>�: 85m2 誘몃쭔","3. [踰뺢퇋] 由щえ<eb>뜽留<81> <ed>썑 <ec>쟾<ec>슜硫댁쟻 利앷<b0>�: 85m2 <ec>씠<ec>긽","4. [蹂댁젙怨꾩닔] 由щえ<eb>뜽留<81> <ed>썑 <ec>슜<ec>쟻瑜<a0> <ec>궛異쒓퀎<ec>닔", "5. [蹂댁젙怨꾩닔] 由щえ<eb>뜽留<81> <ed>썑 吏�<ed>븯二쇱감 1<eb><8c>�<eb>떦 硫댁쟻 <ec>궛異쒓퀎<ec>닔: 吏�<ed>븯二쇱감<ec>옣 1痢<b5> <ec>씠<ed>븯", "6. [蹂댁젙怨꾩닔] 由щえ<eb>뜽留<81> <ed>썑 吏�<ed>븯二쇱감 1<eb><8c>�<eb>떦 硫댁쟻 <ec>궛異쒓퀎<ec>닔: 吏�<ed>븯二쇱감<ec>옣 2痢<b5> <ec>씠<ec>긽", "7. [怨듭궗鍮<84>] <ed>룊<eb>떦 <eb>룄湲됯났<ec>궗鍮<84>: <ec>슜<ec>쟻瑜<a0> 280% <ec>씠<ec>긽", "8. [怨듭궗鍮<84>] <ed>룊<eb>떦 <eb>룄湲됯났<ec>궗鍮<84>: <ec>슜<ec>쟻瑜<a0> 250% <ec>씠<ec>긽 280% 誘몃쭔", "9. [怨듭궗鍮<84>] <ed>룊<eb>떦 <eb>룄湲됯났<ec>궗鍮<84>: <ec>슜<ec>쟻瑜<a0> 250% 誘몃쭔", "10. [<ec>궗<ec>뾽異붿쭊鍮<84>] <ed>룊<eb>떦 媛곸쥌 <ec>궗
Failed to lint file 'ui.R'
if I use
options(encoding = "UTF-8")
I no more can run the app in my local pc, it shows the following error
> runApp()
Listening on http://127.0.0.1:3717
Warning in writeLines(text, ..., useBytes = TRUE) :
invalid char string in output conversion
Warning in readLines(textConn, encoding = "UTF-8") :
incomplete final line found on ''
any help will be appreciated
thank you in advance
here is my session information
> session_info()
- Session info ----------------------------------------------------------------------------------------------------------------------------------------------------------
setting value
version R version 3.6.1 (2019-07-05)
os Windows 10 x64
system x86_64, mingw32
ui RStudio
language (EN)
collate Korean_Korea.949
ctype Korean_Korea.949
tz Asia/Seoul
date 2019-11-07
- Packages --------------------------------------------------------------------------------------------------------------------------------------------------------------
package * version date lib source
askpass 1.1 2019-01-13 [1] CRAN (R 3.6.1)
assertthat 0.2.1 2019-03-21 [1] CRAN (R 3.6.1)
backports 1.1.5 2019-10-02 [1] CRAN (R 3.6.1)
callr 3.3.2 2019-09-22 [1] CRAN (R 3.6.1)
cellranger 1.1.0 2016-07-27 [1] CRAN (R 3.6.1)
class 7.3-15 2019-01-01 [2] CRAN (R 3.6.1)
classInt 0.4-2 2019-10-17 [1] CRAN (R 3.6.1)
cli 1.1.0 2019-03-19 [1] CRAN (R 3.6.1)
colorspace 1.4-1 2019-03-18 [1] CRAN (R 3.6.1)
crayon 1.3.4 2017-09-16 [2] CRAN (R 3.6.1)
crosstalk 1.0.0 2016-12-21 [1] CRAN (R 3.6.1)
curl 4.2 2019-09-24 [1] CRAN (R 3.6.1)
data.table 1.12.6 2019-10-18 [1] CRAN (R 3.6.1)
DBI 1.0.0 2018-05-02 [1] CRAN (R 3.6.1)
desc 1.2.0 2018-05-01 [1] CRAN (R 3.6.1)
devtools * 2.2.1 2019-09-24 [1] CRAN (R 3.6.1)
digest 0.6.20 2019-07-04 [2] CRAN (R 3.6.1)
dplyr 0.8.3 2019-07-04 [1] CRAN (R 3.6.1)
DT * 0.9 2019-09-17 [1] CRAN (R 3.6.1)
e1071 1.7-2 2019-06-05 [1] CRAN (R 3.6.1)
ellipsis 0.3.0 2019-09-20 [1] CRAN (R 3.6.1)
evaluate 0.14 2019-05-28 [1] CRAN (R 3.6.1)
fastmap 1.0.1 2019-10-08 [1] CRAN (R 3.6.1)
foreign 0.8-72 2019-08-02 [2] CRAN (R 3.6.1)
fs 1.3.1 2019-05-06 [1] CRAN (R 3.6.1)
geojson * 0.3.2 2019-01-31 [1] CRAN (R 3.6.1)
geojsonio * 0.8.0 2019-10-29 [1] CRAN (R 3.6.1)
geojsonR * 1.0.7 2019-08-07 [1] CRAN (R 3.6.1)
ggplot2 3.2.1 2019-08-10 [1] CRAN (R 3.6.1)
glue 1.3.1 2019-03-12 [1] CRAN (R 3.6.1)
gtable 0.3.0 2019-03-25 [1] CRAN (R 3.6.1)
htmltools * 0.4.0 2019-10-04 [1] CRAN (R 3.6.1)
htmlwidgets * 1.5.1 2019-10-08 [1] CRAN (R 3.6.1)
httpuv 1.5.2 2019-09-11 [1] CRAN (R 3.6.1)
httr 1.4.1 2019-08-05 [1] CRAN (R 3.6.1)
jqr 1.1.0 2018-10-22 [1] CRAN (R 3.6.1)
jsonlite 1.6 2018-12-07 [2] CRAN (R 3.6.1)
KernSmooth 2.23-15 2015-06-29 [2] CRAN (R 3.6.1)
knitr 1.25 2019-09-18 [1] CRAN (R 3.6.1)
later 1.0.0 2019-10-04 [1] CRAN (R 3.6.1)
lattice 0.20-38 2018-11-04 [2] CRAN (R 3.6.1)
lazyeval 0.2.2 2019-03-15 [1] CRAN (R 3.6.1)
leaflet * 2.0.2 2018-08-27 [1] CRAN (R 3.6.1)
magrittr 1.5 2014-11-22 [2] CRAN (R 3.6.1)
mapproj 1.2.6 2018-03-29 [1] CRAN (R 3.6.1)
maps * 3.3.0 2018-04-03 [1] CRAN (R 3.6.1)
maptools 0.9-8 2019-10-05 [1] CRAN (R 3.6.1)
memoise 1.1.0 2017-04-21 [1] CRAN (R 3.6.1)
mime 0.7 2019-06-11 [2] CRAN (R 3.6.0)
munsell 0.5.0 2018-06-12 [1] CRAN (R 3.6.1)
openssl 1.4.1 2019-07-18 [1] CRAN (R 3.6.1)
openxlsx * 4.1.2 2019-10-29 [1] CRAN (R 3.6.1)
pillar 1.4.2 2019-06-29 [1] CRAN (R 3.6.1)
pkgbuild 1.0.6 2019-10-09 [1] CRAN (R 3.6.1)
pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 3.6.1)
pkgload 1.0.2 2018-10-29 [1] CRAN (R 3.6.1)
plyr 1.8.4 2016-06-08 [1] CRAN (R 3.6.1)
prettyunits 1.0.2 2015-07-13 [1] CRAN (R 3.6.1)
processx 3.4.1 2019-07-18 [1] CRAN (R 3.6.1)
promises 1.1.0 2019-10-04 [1] CRAN (R 3.6.1)
ps 1.3.0 2018-12-21 [1] CRAN (R 3.6.1)
purrr 0.3.3 2019-10-18 [1] CRAN (R 3.6.1)
quantmod * 0.4-15 2019-06-17 [1] CRAN (R 3.6.1)
R6 2.4.0 2019-02-14 [2] CRAN (R 3.6.1)
rbison * 0.8.0 2019-05-03 [1] CRAN (R 3.6.1)
Rcpp 1.0.2 2019-07-25 [2] CRAN (R 3.6.1)
rdrop2 * 0.8.1 2017-09-29 [1] CRAN (R 3.6.1)
readxl * 1.3.1 2019-03-13 [1] CRAN (R 3.6.1)
remotes 2.1.0 2019-06-24 [1] CRAN (R 3.6.1)
reprex * 0.3.0 2019-05-16 [1] CRAN (R 3.6.1)
rgdal * 1.4-7 2019-10-28 [1] CRAN (R 3.6.1)
rgeos 0.5-2 2019-10-03 [1] CRAN (R 3.6.1)
rhandsontable * 0.3.7 2018-11-20 [1] CRAN (R 3.6.1)
rlang * 0.4.1 2019-10-24 [1] CRAN (R 3.6.1)
rmarkdown * 1.16 2019-10-01 [1] CRAN (R 3.6.1)
rprojroot 1.3-2 2018-01-03 [1] CRAN (R 3.6.1)
rsconnect * 0.8.15 2019-07-22 [1] CRAN (R 3.6.1)
rstudioapi 0.10 2019-03-19 [1] CRAN (R 3.6.1)
scales * 1.0.0 2018-08-09 [1] CRAN (R 3.6.1)
sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 3.6.1)
sf 0.8-0 2019-09-17 [1] CRAN (R 3.6.1)
shiny * 1.4.0.9000 2019-11-05 [1] Github (rstudio/shiny@32f93a2)
shiny.i18n * 0.1.0 2018-09-13 [1] CRAN (R 3.6.1)
shinydashboard * 0.7.1 2018-10-17 [1] CRAN (R 3.6.1)
shinyWidgets * 0.4.9 2019-09-10 [1] CRAN (R 3.6.1)
sp * 1.3-1 2018-06-05 [1] CRAN (R 3.6.1)
spData * 0.3.2 2019-09-19 [1] CRAN (R 3.6.1)
testthat 2.3.0 2019-11-05 [1] CRAN (R 3.6.1)
tibble 2.1.3 2019-06-06 [1] CRAN (R 3.6.1)
tidyselect 0.2.5 2018-10-11 [1] CRAN (R 3.6.1)
tidyxl * 1.0.4 2019-01-02 [1] CRAN (R 3.6.1)
TTR * 0.23-5 2019-09-23 [1] CRAN (R 3.6.1)
units 0.6-5 2019-10-08 [1] CRAN (R 3.6.1)
usethis * 1.5.1 2019-07-04 [1] CRAN (R 3.6.1)
V8 2.3 2019-07-02 [1] CRAN (R 3.6.1)
withr 2.1.2 2018-03-15 [1] CRAN (R 3.6.1)
xfun 0.10 2019-10-01 [1] CRAN (R 3.6.1)
xtable 1.8-4 2019-04-21 [2] CRAN (R 3.6.1)
xts * 0.11-2 2018-11-05 [1] CRAN (R 3.6.1)
yaml 2.2.0 2018-07-25 [1] CRAN (R 3.6.0)
zip 2.0.4 2019-09-01 [1] CRAN (R 3.6.1)
zoo * 1.8-6 2019-05-28 [1] CRAN (R 3.6.1)
[1] C:/Users/Contil dell/Documents/R/win-library/3.6
[2] C:/Program Files/R/R-3.6.1/library
here is my ui.R
library(shinydashboard)
library(shiny)
library(shiny.i18n)
library(shinyWidgets)
library(DT)
library(scales)
library(leaflet)
library(spData)
#library(dplyr)
library(sp)
library(maps)
library(rsconnect)
library(htmltools)
library(htmlwidgets)
library(rgdal)
library(geojson)
library(geojsonio)
library(geojsonR)
library(rbison)
library(devtools)
#library(raster)
library(readxl)
library(quantmod)
library(rmarkdown)
library(tidyxl)
#library(tidyverse)
library(rlang)
library(rdrop2)
library(zoo)
library(devtools)
library(quantmod)
#library(xts)
library(reprex)
library(openxlsx)
library(rhandsontable)
Sys.setlocale("LC_ALL", "korean")
#Sys.setlocale("LC_CTYPE", "ko_KR.UTF-8")
#options(encoding = "UTF-8")
###try these codes if deploy failed
#tmp.enc <- options()$encoding
#options(encoding = "UTF-8")
#deployApp()
#options(encoding = tmp.enc)
#city <- read_delim("city.txt", "\t", escape_double = FALSE, trim_ws = TRUE)
#city<- read.csv("city.csv", na = "-", fileEncoding = "UTF-8", encoding = "UTF-8", as.is = T)
#excel_helpers <- source("helpers/format_excel.R", local = TRUE)$value
fields<- c("Q0", "Q1", "Q2", "Q3", "Q4", "Q5", "Q6")
shinyUI <- fluidPage(
titlePanel(title = "리모델링 사업성 영향요인 ‘변동값’ 설정 v1.1"),
helpText("리모델링 사업의 진행 시 사업성에 영향이 큰 변동사항을 입주민들이 직접 선택하여 의사를 반영할 수 있도록 하였음. 이로 인해 입주민들은 사업성이 미흡하거나 분담금이 높은 단지에 대한 대책을 마련하고 비교해 볼 수 있음"),
sidebarLayout(position = "left",
sidebarPanel("setting of variable data",
#selectInput("dataset", "choose district", as.list(city$cityDistrict)),
###choose district
h4("사업성 분석 대상 선택"),
helpText("리모델링 사업의 사업성 분석 대상을 선택하기 위한 것으로, Total을 선택할 경우 성남시 분당구의 전체 사업성을 확인할 수 있으며, 단지를 선택할 경우 자세한 리모델링 전후비교 분석을 확인할 수 있음"),
selectInput ("Q0",label = NULL, choices = c("Yang-gi 2 (Sone-Dong)", "Yang-gi 1 kim-ho (Sone-Dong)", "borin-sinsong (Sone-Dong)", "kachi_village1", "Jugong 2 Park", "kachi_village Sonkyong", "Cheongsol Public Officials(Kumgok-dong)", "Cheongsol village gesokol(kimkok-dong)", "Cheongsol village Dong Ah", "BekHyon-dong beonhan village", "bekHyon 5-dong negihborhood", "BekHyon 2-dong neighborhood")),
###Q1
h4("1. 리모델링 후 세대당 지하주차장 주차대수"),
helpText("리모델링 후의 지하주차장 면적을 산정하기 위한 것으로, 세대당 주차대수가 낮을수록 총 사업비의 절감이 가능함(Default: 1.2대)"),
numericInput("Q1", label = NULL, value= 1.2, min = 0, max = 1, step = 0.1),
###Q2
h4("2. 리모델링 후 주민공동시설 면적 수준"),
helpText("리모델링 후 주민공동시설의 면적은 용적률에 포함이 되지 않으므로 자유롭게 산정할 수 있으나, 총 사업비에 영향을 주므로 최소(법적 최소기준), 평균(최소면적x2), 최대(최소면적x3)로 나누어 산출이 가능하도록 하였음.(Default: Average)"),
selectInput ("Q2", label = NULL, choices = c("minimum", "average", "maximum"), selected = "average"),
###Q3
h4("3. 리모델링 후 증가된 전용면적 대비 신규증가세대의 전용면적 비율"),
helpText("리모델링 후 증가된 전용면적에 대비하여 신규증가세대의 전용면적의 비율을 산출하는 것으로, 이 비율이 높을수록 총 신규세대의 분양면적이 커져 총 사업비가 절감되는 효과가 있음.(Default: 50%)"),
numericInput("Q3", label = NULL , value = 0.5,min = 0, max = 1, step = 0.1),
###Q4
h4("4. 기존 아파트 평당 가격 대비 리모델링 후 평당 가격"),
helpText("기존 아파트의 평당 가격 대비 리모델링 후 평당 가격을 예측하기 위한 값으로, 전문가의 자문 및 사례조사를 통해 Default 값을 산정하였음. 하지만 미래의 주택가격에 대한 예측치를 산정하는 것은 다양한 영향요인으로 인해 불확실 하므로, 111%~113%와 같이 범위 값으로 산출하는 것을 고려할 필요가 있음.(Default: 112%)"),
numericInput("Q4", label = NULL, value = 1.12,min = 0, max = 1, step = 0.01),
###Q5
h4("5. 전세자금 대출 한도(max:40%)"),
helpText("리모델링 사업시 조합원 세대의 아파트를 담보로 대출 받을 수 있는 한도로, 본 사업성지도의 대상인 성남시 분당구는 투기과열지구로 지정되어 LTV 40%로 제한하였음.(Default: 40%)"),
numericInput("Q5", label = NULL, value = 0.4,min = 0, max = 1, step = 0.1),
###Q6
h4("6. 기존 세대수 대비 매도청구세대 비율"),
helpText("리모델링 사업에 참여하지 않는 매도청구세대의 비율로써, 전문가의 자문을 통해 Default값을 선정하였으나, 리모델링 사업을 추진 중인 단지의 경우 매도청구세대의 비율을 직접 입력가능하게 하였음. (Default: 3%)"),
numericInput("Q6", label = NULL, value = 0.03,min = 0, max = 1, step = 0.1),
submitButton("submit"),
h4("리모델링 사업성 영향요인 ‘고정값’ 확인"),
helpText("리모델링 사업의 진행 시 단기간에 변화하지 않는 영향요인으로 고정값을 적용하였으나, 시간의 경과로 인해 변경되거나 각종 정책 수립 시 항목 값에 따른 사업성을 분석할 수 있도록 변경이 가능하게 하였음"),
tableOutput("QQ")),
mainPanel("analysis",
leafletOutput("map"),
textOutput("text1"),
tableOutput("OT0"),
#plotOutput("legend"),
textOutput("T1title"),
tableOutput("OT1"),
textOutput("T2title"),
tableOutput("OT2"),
tableOutput("T_All"),
tableOutput("table"),
#downloadButton("downloadData", "Download"),
downloadButton( ###this is a testing download buttom
"generate_excel_report",
"Create Excel Report",
icon = icon("file-excel"),
style = "width: 100%"
)
)
)
)
> rsconnect::appDependencies()
package version source
1 BH 1.69.0-1 CRAN
2 DBI 1.0.0 CRAN
3 DT 0.9 CRAN
4 KernSmooth 2.23-15 CRAN
5 MASS 7.3-51.4 CRAN
6 Matrix 1.2-17 CRAN
7 R6 2.4.0 CRAN
8 RColorBrewer 1.1-2 CRAN
9 Rcpp 1.0.2 CRAN
10 RcppArmadillo 0.9.800.1.0 CRAN
11 TTR 0.23-5 CRAN
12 V8 2.3 CRAN
13 askpass 1.1 CRAN
14 assertive 0.3-5 CRAN
15 assertive.base 0.0-7 CRAN
16 assertive.code 0.0-3 CRAN
17 assertive.data 0.0-3 CRAN
18 assertive.data.uk 0.0-2 CRAN
19 assertive.data.us 0.0-2 CRAN
20 assertive.datetimes 0.0-2 CRAN
21 assertive.files 0.0-2 CRAN
22 assertive.matrices 0.0-2 CRAN
23 assertive.models 0.0-2 CRAN
24 assertive.numbers 0.0-2 CRAN
25 assertive.properties 0.0-4 CRAN
26 assertive.reflection 0.0-4 CRAN
27 assertive.sets 0.0-3 CRAN
28 assertive.strings 0.0-3 CRAN
29 assertive.types 0.0-3 CRAN
30 assertthat 0.2.1 CRAN
31 backports 1.1.5 CRAN
32 base64enc 0.1-3 CRAN
33 brew 1.0-6 CRAN
34 callr 3.3.2 CRAN
35 cellranger 1.1.0 CRAN
36 class 7.3-15 CRAN
37 classInt 0.4-2 CRAN
38 cli 1.1.0 CRAN
39 clipr 0.7.0 CRAN
40 clisymbols 1.2.0 CRAN
41 codetools 0.2-16 CRAN
42 colorspace 1.4-1 CRAN
43 commonmark 1.7 CRAN
44 covr 3.3.2 CRAN
45 crayon 1.3.4 CRAN
46 crosstalk 1.0.0 CRAN
47 crul 0.9.0 CRAN
48 curl 4.2 CRAN
49 data.table 1.12.6 CRAN
50 desc 1.2.0 CRAN
51 devtools 2.2.1 CRAN
52 digest 0.6.20 CRAN
53 dplyr 0.8.3 CRAN
54 e1071 1.7-2 CRAN
55 ellipsis 0.3.0 CRAN
56 evaluate 0.14 CRAN
57 fansi 0.4.0 CRAN
58 fastmap 1.0.1 CRAN
59 foreign 0.8-72 CRAN
60 fs 1.3.1 CRAN
61 geojson 0.3.2 CRAN
62 geojsonR 1.0.7 CRAN
63 geojsonio 0.8.0 CRAN
64 ggplot2 3.2.1 CRAN
65 gh 1.0.1 CRAN
66 git2r 0.26.1 CRAN
67 glue 1.3.1 CRAN
68 gridExtra 2.3 CRAN
69 gtable 0.3.0 CRAN
70 highr 0.8 CRAN
71 hms 0.5.2 CRAN
72 htmltools 0.4.0 CRAN
73 htmlwidgets 1.5.1 CRAN
74 httpcode 0.2.0 CRAN
75 httpuv 1.5.2 CRAN
76 httr 1.4.1 CRAN
77 ini 0.3.1 CRAN
78 jqr 1.1.0 CRAN
79 jsonlite 1.6 CRAN
80 knitr 1.25 CRAN
81 labeling 0.3 CRAN
82 later 1.0.0 CRAN
83 lattice 0.20-38 CRAN
84 lazyeval 0.2.2 CRAN
85 leaflet 2.0.2 CRAN
86 magrittr 1.5 CRAN
87 mapproj 1.2.6 CRAN
88 maps 3.3.0 CRAN
89 maptools 0.9-8 CRAN
90 markdown 1.1 CRAN
91 memoise 1.1.0 CRAN
92 mgcv 1.8-28 CRAN
93 mime 0.7 CRAN
94 munsell 0.5.0 CRAN
95 nlme 3.1-141 CRAN
96 openssl 1.4.1 CRAN
97 openxlsx 4.1.2 CRAN
98 packrat 0.5.0 CRAN
99 pillar 1.4.2 CRAN
100 piton 0.1.1 CRAN
101 pkgbuild 1.0.6 CRAN
102 pkgconfig 2.0.3 CRAN
103 pkgload 1.0.2 CRAN
104 plogr 0.2.0 CRAN
105 plyr 1.8.4 CRAN
106 png 0.1-7 CRAN
107 praise 1.0.0 CRAN
108 prettyunits 1.0.2 CRAN
109 processx 3.4.1 CRAN
110 progress 1.2.2 CRAN
111 promises 1.1.0 CRAN
112 protolite 2.0 CRAN
113 ps 1.3.0 CRAN
114 purrr 0.3.3 CRAN
115 quantmod 0.4-15 CRAN
116 raster 3.0-7 CRAN
117 rbison 0.8.0 CRAN
118 rcmdcheck 1.3.3 CRAN
119 rdrop2 0.8.1 CRAN
120 readr 1.3.1 CRAN
121 readxl 1.3.1 CRAN
122 rematch 1.0.1 CRAN
123 remotes 2.1.0 CRAN
124 reprex 0.3.0 CRAN
125 reshape2 1.4.3 CRAN
126 rex 1.1.2 CRAN
127 rgdal 1.4-7 CRAN
128 rgeos 0.5-2 CRAN
129 rhandsontable 0.3.7 CRAN
130 rlang 0.4.1 CRAN
131 rmarkdown 1.16 CRAN
132 roxygen2 6.1.1 CRAN
133 rprojroot 1.3-2 CRAN
134 rsconnect 0.8.15 CRAN
135 rstudioapi 0.10 CRAN
136 rversions 2.0.0 CRAN
137 scales 1.0.0 CRAN
138 sessioninfo 1.1.1 CRAN
139 sf 0.8-0 CRAN
140 shiny 1.4.0.9000 github
141 shiny.i18n 0.1.0 CRAN
142 shinyWidgets 0.4.9 CRAN
143 shinydashboard 0.7.1 CRAN
144 sourcetools 0.1.7 CRAN
145 sp 1.3-1 CRAN
146 spData 0.3.2 CRAN
147 stringi 1.4.3 CRAN
148 stringr 1.4.0 CRAN
149 sys 3.3 CRAN
150 testthat 2.3.0 CRAN
151 tibble 2.1.3 CRAN
152 tidyselect 0.2.5 CRAN
153 tidyxl 1.0.4 CRAN
154 tinytex 0.17 CRAN
155 triebeard 0.3.0 CRAN
156 units 0.6-5 CRAN
157 urltools 1.7.3 CRAN
158 usethis 1.5.1 CRAN
159 utf8 1.1.4 CRAN
160 vctrs 0.2.0 CRAN
161 viridis 0.5.1 CRAN
162 viridisLite 0.3.0 CRAN
163 whisker 0.4 CRAN
164 withr 2.1.2 CRAN
165 xfun 0.10 CRAN
166 xml2 1.2.2 CRAN
167 xopen 1.0.0 CRAN
168 xtable 1.8-4 CRAN
169 xts 0.11-2 CRAN
170 yaml 2.2.0 CRAN
171 zeallot 0.1.0 CRAN
172 zip 2.0.4 CRAN
173 zoo 1.8-6 CRAN
Warning message:
In readLines(certificateFile, warn = FALSE) :
invalid input found on input connection 'C:/Users/Contil dell/Documents/R/win-library/3.6/rsconnect/cert/cacert.pem'