“如何修复”;未能加载cairo DLL";在R?
我遇到此警告消息,将停止执行“如何修复”;未能加载cairo DLL";在R?,r,cairo,R,Cairo,我遇到此警告消息,将停止执行 Saving 8.04 x 5.67 in image Warning messages: 1: In dev(file = filename, width = dim[1], height = dim[2], ...) : unable to load shared object '/usr/local/Cellar/r/3.5.0_1/lib/R/library/grDevices/libs//cairo.so': dlopen(/usr/local/
Saving 8.04 x 5.67 in image
Warning messages:
1: In dev(file = filename, width = dim[1], height = dim[2], ...) :
unable to load shared object '/usr/local/Cellar/r/3.5.0_1/lib/R/library/grDevices/libs//cairo.so':
dlopen(/usr/local/Cellar/r/3.5.0_1/lib/R/library/grDevices/libs//cairo.so, 6): image not found
2: In dev(file = filename, width = dim[1], height = dim[2], ...) :
failed to load cairo DLL
这是为我生成警告的代码
library(tidyverse)
library(cowplot)
d <- sample_n(diamonds, 50)
g <- ggplot(d, aes(carat, price)) + geom_point()
gg <- list(g,g,g)
plot_grid(plotlist = gg, nrow=1) %>%
cowplot::ggsave(filename = paste0("~/Desktop/", paste0("testing", ".svg")), device = cairo_ps)
我只提供了一台Windows机器,但以下两种方法都有效地保存了cowplot的
.svg
和.eps
(安装软件包svglite
):
#安装程序包(svglite)
图书馆(tidyverse)
图书馆(cowplot)
dR的自制版本不再支持cairo
(),因此,如果通过brew install R
安装R,base R中的svg()
、cairo\u pdf()
和cairo\u ps()
等图形设备将无法工作。您必须使用其他图形设备(例如,png
,jpeg
,pdf
)。如果需要SVG输出,ggsave()
需要svglite包,并使用svglite::svglite()
将绘图保存到SVG文件
如果您确实想使用自制软件安装R,我建议brew cask安装R
我不确定macOS。。。但是您的系统中安装了cairo吗?您检查过了吗?谢谢您的回复!我已经浏览了大量试图调试此问题的在线资源。我的电脑上确实安装了cairo
——通过homebrew
。我还重新安装了我的Quartz
。是的!这对我有用!我是出于某种原因-设置device=cairo\u ps
是主要问题。如果将来有人在读这篇文章,我想就让ggsave
的内部工作通过.svg
或.etc
结尾来处理文件名吧。
R version 3.5.0 (2018-04-23)
Platform: x86_64-apple-darwin17.6.0 (64-bit)
Running under: macOS High Sierra 10.13.5
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libLAPACK.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] cowplot_0.9.2 forcats_0.3.0 stringr_1.3.1 dplyr_0.7.5
[5] purrr_0.2.5 readr_1.1.1 tidyr_0.8.1 tibble_1.4.2
[9] ggplot2_2.2.1 tidyverse_1.2.1 doParallel_1.0.11 iterators_1.0.9
[13] foreach_1.4.4 lmerTest_3.0-1 lme4_1.1-17 Matrix_1.2-14
loaded via a namespace (and not attached):
[1] tidyselect_0.2.4 reshape2_1.4.3 splines_3.5.0 haven_1.1.1
[5] lattice_0.20-35 argparse_1.1.1 colorspace_1.3-2 getopt_1.20.2
[9] yaml_2.1.19 rlang_0.2.1 nloptr_1.0.4 pillar_1.2.3
[13] foreign_0.8-70 glue_1.2.0 readxl_1.1.0 modelr_0.1.2
[17] bindrcpp_0.2.2 bindr_0.1.1 plyr_1.8.4 cellranger_1.1.0
[21] munsell_0.4.3 findpython_1.0.3 gtable_0.2.0 rvest_0.3.2
[25] codetools_0.2-15 psych_1.8.4 labeling_0.3 broom_0.4.4
[29] proto_1.0.0 Rcpp_0.12.17 scales_0.5.0 jsonlite_1.5
[33] mnormt_1.5-5 hms_0.4.2 stringi_1.2.2 numDeriv_2016.8-1
[37] grid_3.5.0 cli_1.0.0 tools_3.5.0 magrittr_1.5
[41] lazyeval_0.2.1 crayon_1.3.4 pkgconfig_2.0.1 MASS_7.3-49
[45] xml2_1.2.0 lubridate_1.7.4 rstudioapi_0.7 assertthat_0.2.0
[49] minqa_1.2.4 httr_1.3.1 R6_2.2.2 nlme_3.1-137
[53] compiler_3.5.0
# install.packages(svglite)
library(tidyverse)
library(cowplot)
d <- sample_n(diamonds, 50)
g <- ggplot(d, aes(carat, price)) + geom_point()
gg <- list(g,g,g)
plot_grid(plotlist = gg, nrow=1)
ggsave(filename = "testing.svg")
ggsave(filename = "testing.eps")