{"id":101,"date":"2023-06-16T05:24:16","date_gmt":"2023-06-15T20:24:16","guid":{"rendered":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/mean-line-chart-of-repeated-measures-by-ggplot-in-r\/"},"modified":"2025-01-14T22:55:21","modified_gmt":"2025-01-14T13:55:21","slug":"mean-line-chart-of-repeated-measures-by-ggplot-in-r","status":"publish","type":"post","link":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/mean-line-chart-of-repeated-measures-by-ggplot-in-r\/","title":{"rendered":"R \u3067\u53cd\u5fa9\u6e2c\u5b9a\u30c7\u30fc\u30bf\u306e\u5e73\u5747\u5024\u306e\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u66f8\u304f\u65b9\u6cd5"},"content":{"rendered":"\n

\u53cd\u5fa9\u6e2c\u5b9a\u30c7\u30fc\u30bf\u306e\u7fa4\u3054\u3068\u6642\u70b9\u3054\u3068\u306e\u5e73\u5747\u5024\u3092\u7d50\u3093\u3060\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u66f8\u304f\u65b9\u6cd5<\/p>\n\n\n\n\n\n\n\n

\u53cd\u5fa9\u6e2c\u5b9a\u30c7\u30fc\u30bf\u3068\u5e73\u5747\u5024\u306e\u6298\u308c\u7dda\u30b0\u30e9\u30d5<\/h2>\n\n\n\n

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\u53d6\u5f97\u3057\u305f\u30c7\u30fc\u30bf\u306e\u50be\u5411\u304c\u898b\u3066\u53d6\u308c\u308b\u306e\u3067\u3001\u7d71\u8a08\u89e3\u6790\u7d50\u679c\u3092\u8aad\u307f\u53d6\u308b\u3068\u304d\u306b\u5f79\u306b\u7acb\u3064<\/p>\n\n\n\n

\u30b5\u30f3\u30d7\u30eb\u30c7\u30fc\u30bf\u3068\u30b0\u30eb\u30fc\u30d7\u5225\u96c6\u8a08<\/h2>\n\n\n\n

\u30b5\u30f3\u30d7\u30eb\u30c7\u30fc\u30bf\u306f\u3001R \u306e nlme \u30d1\u30c3\u30b1\u30fc\u30b8\u306b\u542b\u307e\u308c\u308b Orthodont \u3068\u3044\u3046\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3042\u308b<\/p>\n\n\n\n

\u3053\u306e\u30c7\u30fc\u30bf\u306f\u3001\u7537\u5150 16 \u4f8b\u3068\u5973\u5150 13 \u4f8b\u306e 8, 10, 12, 14 \u6b73\u6642\u306e\u4e0b\u5782\u4f53\u304b\u3089\u7ffc\u4e0a\u984e\u88c2\u3068\u547c\u3070\u308c\u308b\u90e8\u5206\u307e\u3067\u306e\u8ddd\u96e2\u3092\u982d\u84cb\u9aa8\u306e X \u7dda\u64ae\u5f71\u50cf\u3067\u6e2c\u5b9a\u3057\u305f\u5024\u3067\u3042\u308b<\/p>\n\n\n\n

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> head(Orthodont)\nGrouped Data: distance ~ age | Subject\n  distance age Subject  Sex\n1     26.0   8     M01 Male\n2     25.0  10     M01 Male\n3     29.0  12     M01 Male\n4     31.0  14     M01 Male\n5     21.5   8     M02 Male\n6     22.5  10     M02 Male<\/code><\/pre>\n\n\n\n
\u307e\u305a\u306f\u3001dplyr \u30d1\u30c3\u30b1\u30fc\u30b8\u306e group_by \u95a2\u6570\u3092\u4f7f\u3063\u3066\u3001\u6027\u5225\u30fb\u5e74\u9f62\u5225\u306e Distance \u306e\u5e73\u5747\u5024\u3001\u6a19\u6e96\u504f\u5dee\u3001n \u3092\u96c6\u8a08\u3059\u308b<\/p>\n\n\n\n
data('Orthodont', package = 'nlme')\nlibrary(dplyr)\ndf <- Orthodont %>%\n  group_by(Sex, age) %>%\n  summarise(mean=mean(distance), sd=sd(distance), n=n())\ndf\n<\/code><\/pre>\n\n\n\n
\u96c6\u8a08\u3057\u305f\u7d50\u679c\u306f\u3001\u4ee5\u4e0b\u306e\u3068\u304a\u308a<\/p>\n\n\n\n
> df\n# A tibble: 8 \u00d7 5\n# Groups:   Sex [2]\n  Sex      age  mean    sd     n\n  <fct>  <dbl> <dbl> <dbl> <int>\n1 Male       8  22.9  2.45    16\n2 Male      10  23.8  2.14    16\n3 Male      12  25.7  2.65    16\n4 Male      14  27.5  2.09    16\n5 Female     8  21.2  2.12    11\n6 Female    10  22.2  1.90    11\n7 Female    12  23.1  2.36    11\n8 Female    14  24.1  2.44    11<\/code><\/pre>\n\n\n\n
\uff1e\uff1e\u3082\u3046\u7d71\u8a08\u3067\u60a9\u3080\u306e\u306f\u7d42\u308f\u308a\u306b\u3057\u307e\u305b\u3093\u304b\uff1f\u00a0<\/a><\/strong><\/span><\/p>\r\n\"\"<\/a>\r\n
\u21911\u4e07\u4eba\u4ee5\u4e0a\u306e\u533b\u7642\u5f93\u4e8b\u8005\u304c\u8cfc\u8aad\u4e2d<\/span><\/strong><\/span><\/p><\/div>
\u5e73\u5747\u5024\u306e\u6298\u308c\u7dda\u30b0\u30e9\u30d5<\/h2>\n\n\n\n
\u96c6\u8a08\u7d50\u679c\u3092\u4f7f\u3063\u3066\u3001\u5e73\u5747\u5024\u306e\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u66f8\u3044\u3066\u3044\u304f<\/p>\n\n\n\n
ggplot2 \u30d1\u30c3\u30b1\u30fc\u30b8\u306e ggplot() \u3092\u4f7f\u3063\u3066\u66f8\u304f<\/p>\n\n\n\n
library(ggplot2)\nggplot(data=df, aes(x=age, y=mean, group=Sex, linetype=Sex))+\n  geom_line(position=position_dodge(0.3))+\n  geom_point(size=3, position=position_dodge(0.3))+\n  geom_errorbar(aes(ymax=mean+sd, ymin=mean-sd), width=0.3,\n                position=position_dodge(0.3))+\n  labs(x='Age (years)', y='Distance')+\n  theme_classic()<\/code><\/pre>\n\n\n\n
data= \u306b\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u6307\u5b9a\u3057\u3001aes \u3067 X \u8ef8\u3068 Y \u8ef8\u3092\u6307\u5b9a\u3059\u308b<\/p>\n\n\n\n
linetype= \u3067\u6027\u5225\u3054\u3068\u306b\u7dda\u7a2e\u3092\u5206\u3051\u308b<\/p>\n\n\n\n
geom_line() \u3067\u6298\u308c\u7dda\u3092\u66f8\u304d\u3001geom_point() \u3067\u5e73\u5747\u5024\u3092\u70b9\u3067\u63cf\u753b\u3059\u308b<\/p>\n\n\n\n
geom_errorbar() \u304c\u30a8\u30e9\u30fc\u30d0\u30fc\u3067\u3001\u5e73\u5747\u306b\uff0b\u3082\u3057\u304f\u306f\u30fc \u306e\u6a19\u6e96\u504f\u5dee\u3068\u3057\u3066\u3044\u308b<\/p>\n\n\n\n
\u3044\u305a\u308c\u306b\u3082 position=position_dodge(0.3) \u304c\u30aa\u30d7\u30b7\u30e7\u30f3\u3068\u3057\u3066\u66f8\u304b\u308c\u3066\u3044\u308b<\/p>\n\n\n\n
\u3053\u308c\u306f\u3001\u6027\u5225\u3054\u3068\u306b\u66f8\u3044\u305f\u7dda\u3084\u70b9\u3092\u5c11\u3057\u3060\u3051\u305a\u3089\u3059\uff08\u305d\u306e\u5e45\u306f 0.3 \u3067\u6307\u5b9a\uff09\u6307\u793a\u3067\u3042\u308b<\/p>\n\n\n\n
labs() \u304c\u8ef8\u306e\u30e9\u30d9\u30eb\u6307\u5b9a\u3067\u3001\u6700\u5f8c\u306b theme_classic() \u304c\u53e4\u5178\u7684\u306a\u30b9\u30bf\u30a4\u30eb\u3092\u6307\u5b9a\u3057\u3066\u3044\u3066\u3001\u8ad6\u6587\u7b49\u5b66\u8853\u7684\u306a\u76ee\u7684\u306b\u306f\u9069\u5207\u306a\u898b\u305f\u76ee\u306b\u306a\u308b<\/p>\n\n\n\n
\u56f3\u306b\u3057\u3066\u307f\u308b\u3068\u3001\u4ee5\u4e0b\u306e\u3068\u304a\u308a<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/span><\/p>\n\n\n\n
\u3053\u3093\u306a\u3075\u3046\u306b\u3059\u308b\u3068\u69d8\u5b50\u304c\u4e00\u76ee\u3067\u308f\u304b\u308b<\/p>\n\n\n\n
\u5e74\u9f62\u304c\u4e0a\u304c\u308b\u306b\u3064\u308c\u3066\u3001\u7537\u5973\u3068\u3082 Distance \u306f\u5927\u304d\u304f\u306a\u308a\u3001\u5973\u5150\u306b\u6bd4\u3079\u7537\u5150\u306e\u307b\u3046\u304c\u5927\u304d\u3044\u3053\u3068\u304c\u308f\u304b\u308b<\/p>\n\n\n\n
\u3053\u308c\u304c\u308f\u304b\u3063\u305f\u4e0a\u3067\u3001\u7dda\u5f62\u6df7\u5408\u30e2\u30c7\u30eb\u306a\u3069\u306e\u89e3\u6790\u3092\u884c\u3063\u3066\u3044\u304f\u3068\u3001\u7d50\u679c\u3092\u6b63\u3057\u304f\u89e3\u91c8\u3067\u304d\u308b<\/p>\n\n\n\n
\u307e\u3068\u3081<\/h2>\n\n\n\n
R \u3067 ggplot \u3092\u4f7f\u3063\u3066\u3001\u53cd\u5fa9\u6e2c\u5b9a\u30c7\u30fc\u30bf\u306e\u5e73\u5747\u5024\u306e\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u66f8\u3044\u3066\u307f\u305f<\/p>\n\n\n\n
\u53c2\u8003\u306b\u306a\u308c\u3070<\/p>\n\n\n\n
\u95a2\u9023\u8a18\u4e8b<\/h2>\n\n\n
\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t
\"\"<\/figure><\/div>\t\t\t\t\t
\n\t\t\t\t\t\tEZR \u3068 R \u306e ggplot \u3067\u30a8\u30e9\u30fc\u30d0\u30fc\u4ed8\u304d\u306e\u5e73\u5747\u5024\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u66f8\u304f\u65b9\u6cd5<\/a>\n\t\t\t\t\t\tggplot2 \u3068\u3044\u3046\u30b0\u30e9\u30d5\u3092\u304d\u308c\u3044\u306b\u63cf\u753b\u3059\u308b\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u3063\u3066\u3001\u30a8\u30e9\u30fc\u30d0\u30fc\u4ed8\u304d\u306e\u5e73\u5747\u5024\u306e\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u63cf\u304f\u65b9\u6cd5\u3092\u7d39\u4ecb\u3059\u308b\u3002 \u53cd\u5fa9\u6e2c\u5b9a\u3057\u305f\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u306e\u5e73\u5747\u5024\u3068\u3001SD…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\n\n","protected":false},"excerpt":{"rendered":"
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