{"id":4140,"date":"2023-07-13T08:15:59","date_gmt":"2023-07-13T08:15:59","guid":{"rendered":"https:\/\/statorials.org\/th\/%e0%b9%80%e0%b8%a7%e0%b8%ad%e0%b8%a3%e0%b9%8c%e0%b8%8a%e0%b8%b1%e0%b8%99%e0%b9%81%e0%b8%9e%e0%b9%87%e0%b8%84%e0%b9%80%e0%b8%81%e0%b8%88\/"},"modified":"2023-07-13T08:15:59","modified_gmt":"2023-07-13T08:15:59","slug":"%e0%b9%80%e0%b8%a7%e0%b8%ad%e0%b8%a3%e0%b9%8c%e0%b8%8a%e0%b8%b1%e0%b8%99%e0%b9%81%e0%b8%9e%e0%b9%87%e0%b8%84%e0%b9%80%e0%b8%81%e0%b8%88","status":"publish","type":"post","link":"https:\/\/statorials.org\/th\/%e0%b9%80%e0%b8%a7%e0%b8%ad%e0%b8%a3%e0%b9%8c%e0%b8%8a%e0%b8%b1%e0%b8%99%e0%b9%81%e0%b8%9e%e0%b9%87%e0%b8%84%e0%b9%80%e0%b8%81%e0%b8%88\/","title":{"rendered":"\u0e27\u0e34\u0e18\u0e35\u0e15\u0e23\u0e27\u0e08\u0e2a\u0e2d\u0e1a\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e0a\u0e31\u0e19\u0e41\u0e1e\u0e47\u0e04\u0e40\u0e01\u0e08\u0e17\u0e35\u0e48\u0e42\u0e2b\u0e25\u0e14\u0e43\u0e19 r"},"content":{"rendered":"

<\/p>\n

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\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e15\u0e23\u0e27\u0e08\u0e2a\u0e2d\u0e1a\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e0a\u0e31\u0e19\u0e41\u0e1e\u0e47\u0e04\u0e40\u0e01\u0e08\u0e17\u0e35\u0e48\u0e42\u0e2b\u0e25\u0e14\u0e43\u0e19 R:<\/span><\/p>\n

 #display package version\n<\/span>packageVersion(\" ggplot2<\/span> \")\n\n#display the date when this package version was released\n<\/span>packageDate(\" ggplot2<\/span> \")\n\n#display description of the package\n<\/span>packageDescription(\" ggplot2<\/span> \")\n<\/strong><\/pre>\n
 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e40\u0e2b\u0e25\u0e48\u0e32\u0e19\u0e35\u0e49\u0e43\u0e19\u0e17\u0e32\u0e07\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34<\/p>\n
 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07: \u0e15\u0e23\u0e27\u0e08\u0e2a\u0e2d\u0e1a\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e0a\u0e31\u0e19\u0e41\u0e1e\u0e47\u0e04\u0e40\u0e01\u0e08\u0e17\u0e35\u0e48\u0e42\u0e2b\u0e25\u0e14\u0e43\u0e19 R<\/strong><\/span><\/h2>\n
 \u0e2a\u0e21\u0e21\u0e15\u0e34\u0e27\u0e48\u0e32\u0e40\u0e23\u0e32\u0e42\u0e2b\u0e25\u0e14\u0e41\u0e1e\u0e47\u0e04\u0e40\u0e01\u0e08 ggplot2<\/strong> \u0e25\u0e07\u0e43\u0e19\u0e2a\u0e20\u0e32\u0e1e\u0e41\u0e27\u0e14\u0e25\u0e49\u0e2d\u0e21 R \u0e1b\u0e31\u0e08\u0e08\u0e38\u0e1a\u0e31\u0e19\u0e02\u0e2d\u0e07\u0e40\u0e23\u0e32:<\/span><\/p>\n
 library<\/span> (ggplot2)<\/strong><\/pre>\n
 \u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 packageVersion()<\/strong> \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e15\u0e23\u0e27\u0e08\u0e2a\u0e2d\u0e1a\u0e27\u0e48\u0e32\u0e42\u0e2b\u0e25\u0e14 ggplot2 \u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e0a\u0e31\u0e19\u0e43\u0e14:<\/span><\/p>\n
 #display package version\n<\/span>packageVersion(\" ggplot2<\/span> \")\n\n[1] '3.3.2'\n<\/strong><\/pre>\n
 \u0e40\u0e23\u0e32\u0e40\u0e2b\u0e47\u0e19\u0e27\u0e48\u0e32\u0e21\u0e35\u0e01\u0e32\u0e23\u0e42\u0e2b\u0e25\u0e14\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e0a\u0e31\u0e19 3.2.2<\/strong> \u0e41\u0e25\u0e49\u0e27<\/span><\/p>\n
 \u0e2b\u0e32\u0e01\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e17\u0e23\u0e32\u0e1a\u0e27\u0e48\u0e32\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e0a\u0e31\u0e19\u0e19\u0e35\u0e49\u0e40\u0e1b\u0e34\u0e14\u0e15\u0e31\u0e27\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e43\u0e14 \u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 packageDate()<\/strong> \u0e44\u0e14\u0e49:<\/span><\/p>\n
 #display the date when this package version was released\n<\/span>packageDate(\" ggplot2<\/span> \")\n\n[1] \"2020-06-17\"\n<\/strong><\/pre>\n
 \u0e40\u0e23\u0e32\u0e08\u0e30\u0e40\u0e2b\u0e47\u0e19\u0e44\u0e14\u0e49\u0e27\u0e48\u0e32\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e0a\u0e31\u0e48\u0e19\u0e19\u0e35\u0e49\u0e40\u0e1b\u0e34\u0e14\u0e15\u0e31\u0e27\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e27\u0e31\u0e19\u0e17\u0e35\u0e48 17 \u0e21\u0e34\u0e16\u0e38\u0e19\u0e32\u0e22\u0e19 2563<\/span><\/p>\n
 \u0e41\u0e25\u0e30\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e41\u0e2a\u0e14\u0e07\u0e04\u0e33\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e02\u0e2d\u0e07\u0e41\u0e1e\u0e47\u0e04\u0e40\u0e01\u0e08 \u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 packageDescription()<\/strong> \u0e44\u0e14\u0e49:<\/span><\/p>\n
 #display description of the package\n<\/span>packageDescription(\" ggplot2<\/span> \")\n\nPackage: ggplot2\nVersion: 3.3.2\nTitle: Create Elegant Data Visualizations Using the Grammar of Graphics\nDescription: A system for 'declaratively' creating graphics, based on\n        \"The Grammar of Graphics\". You provide the data, tell 'ggplot2'\n        how to map variables to aesthetics, what graphical primitives\n        to use, and it takes care of the details.\nAuthors@R: c( person(\"Hadley\", \"Wickham\", , \"hadley@rstudio.com\",\n        \"aut\", comment = c(ORCID = \"0000-0003-4757-117X\"),\n        person(\"Winston\", \"Chang\", , role = \"aut\", comment = c(ORCID =\n        \"0000-0002-1576-2126\"), person(\"Lionel\", \"Henry\", , role =\n        \"aut\"), person(\"Thomas Lin\", \"Pedersen\", ,\n        \"thomas.pedersen@rstudio.com\", role = c(\"aut\", \"cre\"), comment\n        = c(ORCID = \"0000-0002-5147-4711\"), person(\"Kohske\",\n        \"Takahashi\", role = \"aut\"), person(\"Claus\", \"Wilke\", role =\n        \"aut\", comment = c(ORCID = \"0000-0002-7470-9261\"),\n        person(\"Kara\", \"Woo\", role = \"aut\", comment = c(ORCID =\n        \"0000-0002-5125-4188\"), person(\"Hiroaki\", \"Yutani\", role =\n        \"aut\", comment = c(ORCID = \"0000-0002-3385-7233\"),\n        person(\"Dewey\", \"Dunnington\", role = \"aut\", comment = c(ORCID =\n        \"0000-0002-9415-4582\"), person(\"RStudio\", role = c(\"cph\",\n        \"fnd\")))\nDepends: R (>= 3.2)\nImports: digest, glue, grDevices, grid, gtable (>= 0.1.1), isoband,\n        MASS, mgcv, rlang (>= 0.3.0), scales (>= 0.5.0), stats, tibble,\n        withr (>= 2.0.0)\nSuggested: covr, dplyr, ggplot2movies, hexbin, Hmisc, knitr, lattice,\n        mapproj, maps, maptools, multcomp, munsell, nlme, profvis,\n        quantreg, RColorBrewer, rgeos, rmarkdown, rpart, sf (>= 0.7-3),\n        svglite (>= 1.2.0.9001), testthat (>= 2.1.0), vdiffr (>= 0.3.0)\nEnhances:sp\nLicense: GPL-2 | LICENSE file\nURL: https:\/\/ggplot2.tidyverse.org, https:\/\/github.com\/tidyverse\/ggplot2\nBugReports: https:\/\/github.com\/tidyverse\/ggplot2\/issues\nLazyData: true\nCollate: 'ggproto.r' 'ggplot-global.R' 'aaa-.r'\n        'aes-color-fill-alpha.r' .....\nThumbnailBuilder: knitr\nRoxygen Note: 7.1.0.9000\nEncoding: UTF-8\nNeedsCompilation: no\nPackaged: 2020-06-17 06:03:58 UTC; thomas\nAuthor: Hadley Wickham [aut] (<https:\/\/orcid.org\/0000-0003-4757-117X>),\n        Winston Chang [aut] (<https:\/\/orcid.org\/0000-0002-1576-2126>),\n        Lionel Henry [aut], Thomas Lin Pedersen [aut, cre]\n        (<https:\/\/orcid.org\/0000-0002-5147-4711>), Kohske Takahashi\n        [aut], Claus Wilke [aut]\n        (<https:\/\/orcid.org\/0000-0002-7470-9261>), Kara Woo [aut]\n        (<https:\/\/orcid.org\/0000-0002-5125-4188>), Hiroaki Yutani [aut]\n        (<https:\/\/orcid.org\/0000-0002-3385-7233>), Dewey Dunnington\n        [aut] (<https:\/\/orcid.org\/0000-0002-9415-4582>), RStudio [cph,\n        fnd]\nMaintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>\nRepository: CRAN\nDate\/Publication: 2020-06-19 13:00:03 UTC\nBuilt: R 4.0.3; ; 2020-11-20 18:07:33 UTC; unix\n\n-- File: \/usr\/lib\/R\/site-library\/ggplot2\/Meta\/package.rds<\/strong><\/pre>\n
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 \u0e41\u0e2b\u0e25\u0e48\u0e07\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e15\u0e34\u0e21<\/strong><\/span><\/h2>\n
 \u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e08\u0e30\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e27\u0e34\u0e18\u0e35\u0e14\u0e33\u0e40\u0e19\u0e34\u0e19\u0e01\u0e32\u0e23\u0e07\u0e32\u0e19\u0e17\u0e31\u0e48\u0e27\u0e44\u0e1b\u0e2d\u0e37\u0e48\u0e19\u0e46 \u0e43\u0e19 R:<\/p>\n
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 \u0e27\u0e34\u0e18\u0e35\u0e15\u0e23\u0e27\u0e08\u0e2a\u0e2d\u0e1a\u0e27\u0e48\u0e32\u0e21\u0e35\u0e44\u0e1f\u0e25\u0e4c\u0e2d\u0e22\u0e39\u0e48\u0e43\u0e19 R<\/a>
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