R|可视化|Real2Integers
2021-02-27 本文已影响0人
高大石头
在ggplot2绘图中,x、y轴连续变量的分割位置(breaks)和预期的不一致,这时候就需要我们去进行细微的调整。
核心函数:
-
scale_x_continuous()
-
scale_y_continuous()

示例数据
rm(list = ls())
library(tidyverse)
library(palmerpenguins)
theme_set(theme_bw(16))
penguins %>%
ggplot(aes(bill_length_mm,bill_depth_mm,color=species))+
geom_point()

调整坐标轴
penguins %>%
ggplot(aes(bill_length_mm,bill_depth_mm,color=species))+
geom_point()+
scale_y_continuous(breaks = seq(14,22,by=2))+
scale_x_continuous(breaks = seq(30,60,by=5))

Session Info
sessionInfo()
## R version 4.0.3 (2020-10-10)
## 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 base
##
## other attached packages:
## [1] palmerpenguins_0.1.0 forcats_0.5.0 stringr_1.4.0
## [4] dplyr_1.0.2 purrr_0.3.4 readr_1.4.0
## [7] tidyr_1.1.2 tibble_3.0.4 ggplot2_3.3.2
## [10] tidyverse_1.3.0
##
## loaded via a namespace (and not attached):
## [1] prettydoc_0.4.0 tidyselect_1.1.0 xfun_0.19 haven_2.3.1
## [5] colorspace_2.0-0 vctrs_0.3.5 generics_0.1.0 htmltools_0.5.0
## [9] yaml_2.2.1 rlang_0.4.9 pillar_1.4.7 glue_1.4.2
## [13] withr_2.3.0 DBI_1.1.0 dbplyr_2.0.0 modelr_0.1.8
## [17] readxl_1.3.1 lifecycle_0.2.0 munsell_0.5.0 gtable_0.3.0
## [21] cellranger_1.1.0 rvest_0.3.6 evaluate_0.14 labeling_0.4.2
## [25] knitr_1.30 fansi_0.4.1 broom_0.7.2 Rcpp_1.0.5
## [29] scales_1.1.1 backports_1.2.0 jsonlite_1.7.1 farver_2.0.3
## [33] fs_1.5.0 hms_0.5.3 digest_0.6.27 stringi_1.5.3
## [37] grid_4.0.3 cli_2.2.0 tools_4.0.3 magrittr_2.0.1
## [41] crayon_1.3.4 pkgconfig_2.0.3 ellipsis_0.3.1 xml2_1.3.2
## [45] reprex_0.3.0 lubridate_1.7.9.2 assertthat_0.2.1 rmarkdown_2.5
## [49] httr_1.4.2 rstudioapi_0.13 R6_2.5.0 compiler_4.0.3
参考链接:
https://datavizpyr.com/change-x-and-y-axis-values-to-integers-ggplot2/