reprex（）函数出错：无法连接到api.imgur.com端口443:超时
标题也一样 我想用reprex（）函数出错：无法连接到api.imgur.com端口443:超时,r,ggplot2,tidyverse,reprex,R,Ggplot2,Tidyverse,Reprex,标题也一样 我想用reprex包中的reprex（）函数显示一些有关StackOverflow的代码和结果 代码如下： library(tidyverse) set.seed(20201011) metal <- c("Al", "As", "Cd", "Co") site <- paste('City', LETTERS[1:5], sep = '_') season <- c('spring'
reprexreprex（）library(tidyverse)
set.seed(20201011)
metal <- c("Al", "As", "Cd", "Co")
site <- paste('City', LETTERS[1:5], sep = '_')
season <- c('spring', 'summer', 'autumn', 'winter')
frames <- expand.grid(metal = metal,
site = site,
season = season)
dat.avg <- frames %>% cbind(Average = rnorm(nrow(frames)),
STDV = rnorm(nrow(frames)))
dat.avg.0 <- dat.avg %>% filter(metal == 'Al')
# ERROR BAR PLOT
ggplot(dat.avg.0, aes(x = season, group = site, color = site))+
geom_errorbar(
aes(ymin=Average-STDV,
ymax=Average+STDV),
position = position_dodge(.4), width = .3) +
geom_point(aes(y = Average), position = position_dodge(.4))
ggplot(dat.avg, aes(x = season, group = site, color = site))+
geom_errorbar(
aes(ymin=Average-STDV,
ymax=Average+STDV),
position = position_dodge(.4), width = .3) +
geom_point(aes(y = Average), position = position_dodge(.4)) +
facet_grid(metal ~.) +
labs(
title = 'Variation in Metals Conentration along Israeli Mediterranean Coastline, by Season and Site',
subtitle = 'North to South',
caption = 'Field Smapling 2019-2020, \n *Outliers omited for better visualization'
) +
theme(
plot.title = element_text(color = 'Darkblue'),
plot.subtitle = element_text(color = 'blue'),
plot.caption = element_text(color = 'green', face = 'bold')
) +
guides(color = F)
# BOXPLOT
metal <- c("Al", "As", "Cd", "Co")
site <- paste('City', LETTERS[1:5], sep = '_')
season <- c('spring', 'summer', 'autumn', 'winter')
day <- 1:10
frames <- expand.grid(metal = metal,
site = site,
season = season,
day = day)
dat.avg <- frames %>% cbind(Value = rnorm(nrow(frames)))
ggplot(dat.avg, aes(x = season, color = site))+
geom_boxplot(aes(y = Value)) +
facet_grid(metal ~.) +
labs(
title = 'Variation in Metals Conentration along Israeli Mediterranean Coastline, by Season and Site',
subtitle = 'North to South',
caption = 'Field Smapling 2019-2020, \n *Outliers omited for better visualization'
) +
theme(
plot.title = element_text(color = 'Darkblue'),
plot.subtitle = element_text(color = 'blue'),
plot.caption = element_text(color = 'green', face = 'bold')
) +
guides(color = F)
R version 3.6.3 (2020-02-29)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)
Matrix products: default
locale:
[1] LC_COLLATE=Chinese (Simplified)_China.936
[2] LC_CTYPE=Chinese (Simplified)_China.936
[3] LC_MONETARY=Chinese (Simplified)_China.936
[4] LC_NUMERIC=C
[5] LC_TIME=Chinese (Simplified)_China.936
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
[1] reprex_0.3.0 ggnewscale_0.4.3 geosphere_1.5-10
[4] scatterpie_0.1.5 lubridate_1.7.9 forcats_0.5.0
[7] stringr_1.4.0 dplyr_1.0.2 purrr_0.3.4
[10] readr_1.3.1 tidyr_1.1.2 tibble_3.0.3
[13] ggplot2_3.3.2 tidyverse_1.3.0 readxl_1.3.1
[16] feather_0.3.5
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 lattice_0.20-38 ps_1.3.4
[4] assertthat_0.2.1 digest_0.6.25 ggforce_0.3.2
[7] R6_2.4.1 cellranger_1.1.0 backports_1.1.6
[10] evaluate_0.14 httr_1.4.2 pillar_1.4.6
[13] rlang_0.4.7 rstudioapi_0.11 callr_3.4.4
[16] whisker_0.4 blob_1.2.1 rmarkdown_2.3
[19] labeling_0.3 polyclip_1.10-0 munsell_0.5.0
[22] broom_0.7.0 compiler_3.6.3 modelr_0.1.8
[25] xfun_0.17 pkgconfig_2.0.3 clipr_0.7.0
[28] htmltools_0.5.0 tidyselect_1.1.0 fansi_0.4.1
[31] crayon_1.3.4 dbplyr_1.4.4 withr_2.3.0
[34] MASS_7.3-51.5 grid_3.6.3 jsonlite_1.7.1
[37] gtable_0.3.0 lifecycle_0.2.0 DBI_1.1.0
[40] magrittr_1.5 scales_1.1.1 cli_2.0.2
[43] stringi_1.4.6 farver_2.0.3 fs_1.4.0
[46] sp_1.4-2 xml2_1.3.2 ellipsis_0.3.1
[49] rvcheck_0.1.8 generics_0.0.2 vctrs_0.3.4
[52] tools_3.6.3 glue_1.4.0 tweenr_1.0.1
[55] maps_3.3.0 hms_0.5.3 processx_3.4.3
[58] colorspace_1.4-1 BiocManager_1.30.10 rvest_0.3.6
[61] knitr_1.30 haven_2.3.1
错误是因为reprex包含打印命令。当包含绘图时，reprex调用
knitr:：imgur_uploadR version 3.6.3 (2020-02-29)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)
Matrix products: default
locale:
[1] LC_COLLATE=Chinese (Simplified)_China.936
[2] LC_CTYPE=Chinese (Simplified)_China.936
[3] LC_MONETARY=Chinese (Simplified)_China.936
[4] LC_NUMERIC=C
[5] LC_TIME=Chinese (Simplified)_China.936
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
[1] reprex_0.3.0 ggnewscale_0.4.3 geosphere_1.5-10
[4] scatterpie_0.1.5 lubridate_1.7.9 forcats_0.5.0
[7] stringr_1.4.0 dplyr_1.0.2 purrr_0.3.4
[10] readr_1.3.1 tidyr_1.1.2 tibble_3.0.3
[13] ggplot2_3.3.2 tidyverse_1.3.0 readxl_1.3.1
[16] feather_0.3.5
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 lattice_0.20-38 ps_1.3.4
[4] assertthat_0.2.1 digest_0.6.25 ggforce_0.3.2
[7] R6_2.4.1 cellranger_1.1.0 backports_1.1.6
[10] evaluate_0.14 httr_1.4.2 pillar_1.4.6
[13] rlang_0.4.7 rstudioapi_0.11 callr_3.4.4
[16] whisker_0.4 blob_1.2.1 rmarkdown_2.3
[19] labeling_0.3 polyclip_1.10-0 munsell_0.5.0
[22] broom_0.7.0 compiler_3.6.3 modelr_0.1.8
[25] xfun_0.17 pkgconfig_2.0.3 clipr_0.7.0
[28] htmltools_0.5.0 tidyselect_1.1.0 fansi_0.4.1
[31] crayon_1.3.4 dbplyr_1.4.4 withr_2.3.0
[34] MASS_7.3-51.5 grid_3.6.3 jsonlite_1.7.1
[37] gtable_0.3.0 lifecycle_0.2.0 DBI_1.1.0
[40] magrittr_1.5 scales_1.1.1 cli_2.0.2
[43] stringi_1.4.6 farver_2.0.3 fs_1.4.0
[46] sp_1.4-2 xml2_1.3.2 ellipsis_0.3.1
[49] rvcheck_0.1.8 generics_0.0.2 vctrs_0.3.4
[52] tools_3.6.3 glue_1.4.0 tweenr_1.0.1
[55] maps_3.3.0 hms_0.5.3 processx_3.4.3
[58] colorspace_1.4-1 BiocManager_1.30.10 rvest_0.3.6
[61] knitr_1.30 haven_2.3.1