geom_文本,带“%”高达%r
你知道这是为什么吗?理想情况下,向上箭头前面没有文本,空格是可以接受的,但两者都是rgeom_文本,带“%”高达%r,r,ggplot2,expression,plotmath,geom-text,R,Ggplot2,Expression,Plotmath,Geom Text,你知道这是为什么吗?理想情况下,向上箭头前面没有文本,空格是可以接受的,但两者都是r ggplot2是1.0.1版 library(ggplot2) ## Use suppressPackageStartupMessages to eliminate package startup messages. df <- data.frame(x=1,y=1,label=".%up% y") ### <-- this works ggplot(df, aes(x,y,label=label
ggplot2
是1.0.1版
library(ggplot2)
## Use suppressPackageStartupMessages to eliminate package startup messages.
df <- data.frame(x=1,y=1,label=".%up% y") ### <-- this works
ggplot(df, aes(x,y,label=label)) +
geom_point() + geom_text(hjust=-1,parse=TRUE)
df <- data.frame(x=1,y=1,label=" %up% y") ### <-- this crashes
ggplot(df, aes(x,y,label=label)) +
geom_point() + geom_text(hjust=-1,parse=TRUE)
*** caught segfault ***
address 0xfffffffffffffff8, cause 'memory not mapped'
...
R> R.version
_
platform x86_64-apple-darwin13.4.0
arch x86_64
os darwin13.4.0
system x86_64, darwin13.4.0
status
major 3
minor 1.3
year 2015
month 03
day 09
svn rev 67962
language R
version.string R version 3.1.3 (2015-03-09)
nickname Smooth Sidewalk
R>
库(ggplot2)
##使用suppressPackageStartupMessages消除包启动消息。
测向测向测向
我得到了错误::1:2:意外的特殊1:%up%
(r-devel,32位ubuntu 12.04)我和你的r.version
完全一样,我得到了@BenBolker得到的东西。您能添加sessionInfo()的输出吗?
?我还得到了R3.1.2、ggplot2 1.0.1、x86_64-apple-darwin10.8.0(64位)的错误(不是SEGFULT)。MacOS版本可能也很重要(我在10.9.5)。@BenBolker-我在10.10.2(buzz 532)$uname-一个Darwin buzz.local 14.1.0 Darwin内核版本14.1.0:Thu Feb 26:26:47 PST 2015;root:xnu-2782.10.73~1/RELEASE_X86_64 X86_64
(buzz 506) $ r
R> library(ggplot2)
R> df <- data.frame(x=1,y=1,label=".%up% y") ### <-- this works
R> ggplot(df, aes(x,y,label=label)) +
+ geom_point() + geom_text(hjust=-1,parse=TRUE)
R> df <- data.frame(x=1,y=1,label=" %up% y") ### <-- this crashes
R> ggplot(df, aes(x,y,label=label)) +
+ geom_point() + geom_text(hjust=-1,parse=TRUE)
*** caught segfault ***
address 0xfffffffffffffff8, cause 'memory not mapped'
Traceback:
1: .Call("plyr_loop_apply", PACKAGE = "plyr", n, f)
2: loop_apply(n, do.ply)
3: llply(.data = pieces, .fun = .fun, ..., .progress = .progress, .inform = .inform, .parallel = .parallel, .paropts = .paropts)
4: dlply(layer_data, "PANEL", function(df) { panel_i <- match(df$PANEL[1], panel$layout$PANEL) layer$make_grob(df, scales = panel$ranges[[panel_i]], cs = plot$coord)}, .drop = FALSE)
5: (function (layer, layer_data) { if (nrow(layer_data) == 0) return() dlply(layer_data, "PANEL", function(df) { panel_i <- match(df$PANEL[1], panel$layout$PANEL) layer$make_grob(df, scales = panel$ranges[[panel_i]], cs = plot$coord) }, .drop = FALSE)})(dots[[1L]][[2L]], dots[[2L]][[2L]])
6: mapply(FUN = f, ..., SIMPLIFY = FALSE)
7: Map(build_grob, plot$layer, data)
8: ggplot_gtable(data)
9: print.ggplot(list(data = list(x = 1, y = 1, label = 1L), layers = list( <environment>, <environment>), scales = <S4 object of class "Scales">, mapping = list(x = x, y = y, label = label), theme = list(), coordinates = list(limits = list(x = NULL, y = NULL)), facet = list( shrink = TRUE), plot_env = <environment>, labels = list( x = "x", y = "y", label = "label")))
10: print(list(data = list(x = 1, y = 1, label = 1L), layers = list( <environment>, <environment>), scales = <S4 object of class "Scales">, mapping = list(x = x, y = y, label = label), theme = list(), coordinates = list(limits = list(x = NULL, y = NULL)), facet = list( shrink = TRUE), plot_env = <environment>, labels = list( x = "x", y = "y", label = "label")))
Possible actions:
1: abort (with core dump, if enabled)
2: normal R exit
3: exit R without saving workspace
4: exit R saving workspace
Selection: 2
(buzz 507) $ R
R> library(ggplot2)
R> sessionInfo()
R version 3.1.3 (2015-03-09)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.10.2 (Yosemite)
locale:
[1] C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggplot2_1.0.1
loaded via a namespace (and not attached):
[1] MASS_7.3-40 Rcpp_0.11.5 colorspace_1.2-6 digest_0.6.8 grid_3.1.3 gtable_0.1.2 labeling_0.3
[8] munsell_0.4.2 plyr_1.8.1 proto_0.3-10 reshape2_1.4.1 scales_0.2.4 stringr_0.6.2
R>