ggplot2可以'；无法识别特定的data.frame？
这个问题对我来说太奇怪了。因此，我尝试使用交互式ggplot2包ggiraphExtra中的ggRadar创建雷达图，但由于某些原因，它无法识别我的特定data.frame。强调“特定”，其他data.frame与此绘图语句配合良好，但我的特定data.frame不会 下面是一个使用iris数据集的示例，这个示例运行良好ggplot2可以'；无法识别特定的data.frame？,r,ggplot2,R,Ggplot2,这个问题对我来说太奇怪了。因此，我尝试使用交互式ggplot2包ggiraphExtra中的ggRadar创建雷达图，但由于某些原因，它无法识别我的特定data.frame。强调“特定”，其他data.frame与此绘图语句配合良好，但我的特定data.frame不会 下面是一个使用iris数据集的示例，这个示例运行良好 library(ggiraph) library(plyr) library(reshape2) library(moonBook) library(ggiraphExtra)
library(ggiraph)
library(plyr)
library(reshape2)
library(moonBook)
library(ggiraphExtra)
library(ggplot2)
ggRadar(iris, mapping = NULL, rescale = TRUE, legend.position = "Top",
colour = "red", alpha = 0.3, size = 3, ylim = NULL,
scales = "fixed", use.label = FALSE, interactive = FALSE)
> my_dataset
Case_1 Case_2 Case_3 Case_4 Case_5 Case_6 Case_7 Case_8
1 23.640 58.974 50.381 7.976 31.590 2.728 15.724 8.341
2 47.947 74.074 90.491 12.894 28.410 39.384 23.793 45.701
3 64.040 82.336 55.897 21.318 56.103 62.633 45.517 55.354
4 76.804 78.632 52.115 11.694 5.159 17.516 23.448 22.624
5 100.000 56.980 61.338 29.647 5.231 0.000 10.328 52.187
6 87.569 60.826 48.542 72.471 6.656 0.004 29.483 91.252
7 77.358 78.490 58.879 19.176 26.462 0.585 21.379 33.032
8 64.484 64.387 51.972 35.294 21.128 0.349 15.190 78.884
9 85.683 68.803 47.189 13.271 5.344 0.040 65.000 72.247
10 80.910 77.635 68.549 7.435 1.785 0.029 63.621 77.526
11 69.589 63.533 52.744 7.812 31.590 0.082 19.138 16.591
12 86.127 63.390 61.346 8.729 21.744 0.434 21.379 61.086
13 58.713 44.729 44.684 10.847 36.308 0.046 17.586 43.439
14 68.590 98.718 67.873 78.353 45.128 80.573 17.414 66.214
15 42.841 57.835 43.769 10.000 85.333 6.338 29.483 30.920
16 46.615 68.234 58.423 8.800 62.872 70.382 11.707 16.591
17 63.707 52.707 40.110 19.788 65.026 0.010 17.000 53.394
18 32.075 64.245 0.000 12.659 100.000 100.000 38.276 88.989
19 54.051 65.242 69.093 8.729 56.615 2.728 20.172 31.222
20 59.933 62.536 61.185 27.059 65.128 0.002 17.121 55.958
21 53.163 69.088 25.829 38.118 98.769 69.851 26.207 68.929
22 61.487 86.895 74.161 18.918 10.072 8.620 96.724 74.962
23 77.137 83.476 44.760 15.482 10.462 33.652 19.483 16.893
> class(my_dataset)
[1] "data.frame"
library(ggiraph)
library(plyr)
library(reshape2)
library(moonBook)
library(ggiraphExtra)
library(ggplot2)
ggRadar(my_dataset, mapping = NULL, rescale = TRUE, legend.position = "Top",
colour = "red", alpha = 0.3, size = 3, ylim = NULL,
scales = "fixed", use.label = FALSE, interactive = FALSE)
Error in FUN(X[[i]], ...) : object 'variable' not found
R version 3.6.3 (2020-02-29)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18362)
Matrix products: default
locale:
[1] LC_COLLATE=English_Country.1252 LC_CTYPE=English_Country.1252 LC_MONETARY=English_Country.1252
[4] LC_NUMERIC=C LC_TIME=English_Country.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] scales_1.1.0 reticulate_1.15 spotifyr_2.1.1 crayon_1.3.4 tm_0.7-7
[6] NLP_0.2-0 tibble_3.0.0 magrittr_1.5 wdman_0.2.5 rvest_0.3.5
[11] xml2_1.3.1 zoo_1.8-7 rmarkdown_2.1 rio_0.5.16 shinydashboard_0.7.1
[16] rsconnect_0.8.16 shiny_1.4.0.2 ggplot2_3.3.0 ggvis_0.4.5 httr_1.4.1
[21] lubridate_1.7.8 stringr_1.4.0 data.table_1.12.8 tidyr_1.0.2 dplyr_0.8.5
[26] imputeTS_3.0 googlesheets4_0.2.0.9000 GTT_0.0.1.902 gtrendsR_1.4.4 readr_1.3.1
[31] ggiraphExtra_0.2.9 moonBook_0.2.3 reshape2_1.4.4 plyr_1.8.6 ggiraph_0.7.0
[36] RSelenium_1.7.7
loaded via a namespace (and not attached):
[1] readxl_1.3.1 uuid_0.1-4 backports_1.1.6 systemfonts_0.2.0 tidytext_0.2.4 splines_3.6.3 mycor_0.1.1
[8] SnowballC_0.7.0 usethis_1.6.0 digest_0.6.25 htmltools_0.4.0 fansi_0.4.1 memoise_1.1.0 openxlsx_4.1.4
[15] remotes_2.1.1 genius_2.2.0 xts_0.12-0 askpass_1.1 forecast_8.12 tseries_0.10-47 prettyunits_1.1.1
[22] colorspace_1.4-1 haven_2.2.0 xfun_0.13 callr_3.4.3 jsonlite_1.6.1 glue_1.4.0 gtable_0.3.0
[29] ppcor_1.1 sjmisc_2.8.4 pkgbuild_1.0.6 semver_0.2.0 quantmod_0.4.17 stinepack_1.4 Rcpp_1.0.4.6
[36] xtable_1.8-4 foreign_0.8-75 htmlwidgets_1.5.1 RColorBrewer_1.1-2 ellipsis_0.3.0 pkgconfig_2.0.3 XML_3.99-0.3
[43] farver_2.0.3 nnet_7.3-12 tidyselect_1.0.0 labeling_0.3 rlang_0.4.5 later_1.0.0 munsell_0.5.0
[50] cellranger_1.1.0 tools_3.6.3 cli_2.0.2 generics_0.0.2 sjlabelled_1.1.3 devtools_2.3.0 evaluate_0.14
[57] fastmap_1.0.1 binman_0.1.1 processx_3.4.2 knitr_1.28 fs_1.4.1 zip_2.0.4 caTools_1.18.0
[64] purrr_0.3.4 nlme_3.1-144 mime_0.9 slam_0.1-47 tokenizers_0.2.1 compiler_3.6.3 rstudioapi_0.11
[71] curl_4.3 testthat_2.3.2 stringi_1.4.6 ps_1.3.2 desc_1.2.0 forcats_0.5.0 gdtools_0.2.2
[78] lattice_0.20-38 Matrix_1.2-18 urca_1.3-0 vctrs_0.2.4 pillar_1.4.3 lifecycle_0.2.0 lmtest_0.9-37
[85] bitops_1.0-6 insight_0.8.2 httpuv_1.5.2 R6_2.4.1 promises_1.1.0 janeaustenr_0.1.5 sessioninfo_1.1.1
[92] MASS_7.3-51.5 assertthat_0.2.1 pkgload_1.0.2 openssl_1.4.1 rprojroot_1.3-2 withr_2.1.2 fracdiff_1.5-1
[99] mgcv_1.8-31 parallel_3.6.3 hms_0.5.3 quadprog_1.5-8 grid_3.6.3 timeDate_3043.102 googledrive_1.0.0
[106] TTR_0.23-6
以下内容在我的计算机上运行时没有问题。您能否共享
sessionInfo（）library(ggiraph)
library(plyr)
library(reshape2)
library(moonBook)
library(ggiraphExtra)
library(ggplot2)
ggRadar(iris, mapping = NULL, rescale = TRUE, legend.position = "Top",
colour = "red", alpha = 0.3, size = 3, ylim = NULL,
scales = "fixed", use.label = FALSE, interactive = FALSE)
my\u数据集是依赖项还是对象。尝试查看相同的数据集（my\u数据集、my\u other\u数据集）
的计算结果，其中my\u other\u数据集
不起作用。您还可以尝试as.data.frame（as.matrix（.））
看看这是否有帮助。我注意到当我使用unlist（my_dataset）
时，我的data.frame的结果与您从read.table（）创建的data.frame不同。idential（）
函数返回FALSE。我的数据有点问题。哈哈。顺便说一句，我尝试了as.data.frame（as.matrix（.））
，但它删除了我设置的每个列的名称？尝试在帖子中共享str（my_dataset）
的输出。我解决了这个问题。在for循环中，我在data.frame中使用[[1]]而不是[1]进行了过多的子集设置。谢谢你的帮助，它给了我很好的方向。
my_dataset <- read.table(header = TRUE, sep = ",", text =
"Case_1, Case_2, Case_3, Case_4, Case_5, Case_6, Case_7, Case_8
23.640, 58.974, 50.381,7.976, 31.590,2.728, 15.724,8.341
47.947, 74.074, 90.491, 12.894, 28.410, 39.384, 23.793, 45.701
64.040, 82.336, 55.897, 21.318, 56.103, 62.633, 45.517, 55.354
76.804, 78.632, 52.115, 11.694,5.159, 17.516, 23.448, 22.624
100.000, 56.980, 61.338, 29.647,5.231,0.000, 10.328, 52.187
87.569, 60.826, 48.542, 72.471,6.656,0.004, 29.483, 91.252
77.358, 78.490, 58.879, 19.176, 26.462,0.585, 21.379, 33.032
64.484, 64.387, 51.972, 35.294, 21.128,0.349, 15.190, 78.884
85.683, 68.803, 47.189, 13.271,5.344,0.040, 65.000, 72.247
80.910, 77.635, 68.549,7.435,1.785,0.029, 63.621, 77.526
69.589, 63.533, 52.744,7.812, 31.590,0.082, 19.138, 16.591
86.127, 63.390, 61.346,8.729, 21.744,0.434, 21.379, 61.086
58.713, 44.729, 44.684, 10.847, 36.308,0.046, 17.586, 43.439
68.590, 98.718, 67.873, 78.353, 45.128, 80.573, 17.414, 66.214
42.841, 57.835, 43.769, 10.000, 85.333,6.338, 29.483, 30.920
46.615, 68.234, 58.423,8.800, 62.872, 70.382, 11.707, 16.591
63.707, 52.707, 40.110, 19.788, 65.026,0.010, 17.000, 53.394
32.075, 64.245,0.000, 12.659,100.000,100.000, 38.276, 88.989
54.051, 65.242, 69.093,8.729, 56.615,2.728, 20.172, 31.222
59.933, 62.536, 61.185, 27.059, 65.128,0.002, 17.121, 55.958
53.163, 69.088, 25.829, 38.118, 98.769, 69.851, 26.207, 68.929
61.487, 86.895, 74.161, 18.918, 10.072,8.620, 96.724, 74.962
77.137, 83.476, 44.760, 15.482, 10.462, 33.652, 19.483, 16.893")
ggRadar(my_dataset, mapping = NULL, rescale = TRUE, legend.position = "Top",
colour = "red", alpha = 0.3, size = 3, ylim = NULL,
scales = "fixed", use.label = FALSE, interactive = FALSE)