{"id":3423,"date":"2025-01-15T21:17:00","date_gmt":"2025-01-15T12:17:00","guid":{"rendered":"https:\/\/best-biostatistics.com\/toukei-er\/?p=3423"},"modified":"2025-01-15T21:17:03","modified_gmt":"2025-01-15T12:17:03","slug":"line-graph-median-error-bars-min-max-ezr-r","status":"publish","type":"post","link":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/line-graph-median-error-bars-min-max-ezr-r\/","title":{"rendered":"EZR \u3068 R \u3092\u4f7f\u3063\u3066\u4e2d\u592e\u5024\u306b\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u306e\u30a8\u30e9\u30fc\u30d0\u30fc\u304c\u3064\u3044\u305f\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u66f8\u304f\u65b9\u6cd5"},"content":{"rendered":"\n

\u53cd\u5fa9\u6e2c\u5b9a\u30c7\u30fc\u30bf\u306e\u5404\u6642\u70b9\u306e\u4e2d\u592e\u5024\u53ca\u3073\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u3092\u793a\u3057\u305f\u30a8\u30e9\u30fc\u30d0\u30fc\u304c\u3064\u3044\u305f\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u66f8\u304d\u305f\u3044\u3068\u3044\u3046\u8981\u671b\u306f\u3088\u304f\u805e\u304f\u304c\u3001\u305d\u306e\u3088\u3046\u306a\u30b0\u30e9\u30d5\u3092\u66f8\u3051\u308b\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306f\u306a\u304b\u306a\u304b\u898b\u3064\u304b\u3089\u306a\u3044<\/p>\n\n\n\n

EZR \u3068 R \u3067\u4e2d\u592e\u5024\u306b\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u30a8\u30e9\u30fc\u30d0\u30fc\u4ed8\u304d\u306e\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u66f8\u304f\u65b9\u6cd5\u3092\u7d39\u4ecb\u3059\u308b<\/p>\n\n\n\n\n\n\n\n

\u53cd\u5fa9\u6e2c\u5b9a\u30c7\u30fc\u30bf\u3092\u30ed\u30f3\u30b0\u5f62\u5f0f\u306b\u5909\u63db\u3059\u308b<\/h2>\n\n\n\n

\u307e\u305a\u306f\u3001\u4e00\u4eba\u4e00\u884c\u3067\u5165\u529b\u3055\u308c\u3066\u3044\u308b\u30c7\u30fc\u30bf\uff08\u30ef\u30a4\u30c9\u5f62\u5f0f\uff09\u3092\u30ed\u30f3\u30b0\u5f62\u5f0f\u306b\u5909\u63db\u3059\u308b<\/p>\n\n\n\n

\u30a8\u30af\u30bb\u30eb\u3067\u306f\u3001\u4ee5\u4e0b\u306e\u9ec4\u8272\u30cf\u30a4\u30e9\u30a4\u30c8\u306e\u3088\u3046\u306b\u3001\u53cd\u5fa9\u6e2c\u5b9a\u30c7\u30fc\u30bf\u306f\u6a2a\u306b\u4e26\u3079\u3066\u5165\u529b\u3059\u308b\u3068\u601d\u3046<\/p>\n\n\n\n

\u3053\u308c\u3092\u30ef\u30a4\u30c9\u5f62\u5f0f\u3068\u547c\u3076<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u3053\u308c\u3092\u30ed\u30f3\u30b0\u5f62\u5f0f\u306b\u3059\u308b\u306b\u306f\u30a2\u30af\u30c6\u30a3\u30d6\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304b\u3089\u7e26\u306b\u7a4d\u307f\u91cd\u306d\u308b\u3068\u3044\u3046\u30e1\u30cb\u30e5\u30fc\u3092\u9078\u629e\u3059\u308b<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u53cd\u5fa9\u6e2c\u5b9a\u30c7\u30fc\u30bf\u3092\u9078\u629e\u3057\uff08\u4eca\u56de\u306f Y1, Y2, Y3\uff09\u3001\u30ed\u30f3\u30b0\u5f62\u5f0f\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u540d\uff08\u4eca\u56de\u306f Dataset_long\uff09\u3001\u7e26\u306b\u7a4d\u307f\u91cd\u306d\u305f\u5f8c\u306e\u5909\u6570\u540d\uff08\u4eca\u56de\u306f Y\uff09\u3001\u53cd\u5fa9\u6e2c\u5b9a\u3092\u533a\u5225\u3059\u308b\u5909\u6570\u540d\uff08\u4eca\u56de\u306f Time\uff09\u3092\u5165\u529b\u3057\u3001OK \u3092\u30af\u30ea\u30c3\u30af<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u51fa\u6765\u4e0a\u304c\u308a\u306f\u3001\u53cd\u5fa9\u6e2c\u5b9a\u30c7\u30fc\u30bf\u304c\u7acb\u3066\u306b\u7a4d\u307f\u91cd\u306a\u3063\u3066\u3044\u308b\u306e\u304c\u308f\u304b\u308b\uff08id \u306e\u6607\u9806\u3067\u4e26\u3073\u66ff\u3048\u3066\u3042\u308b\uff09<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u7fa4\u3054\u3068\u6642\u70b9\u3054\u3068\u306e\u4e2d\u592e\u5024\u30fb\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u306e\u8a08\u7b97<\/h2>\n\n\n\n

\u6b21\u306b\u7fa4\u3054\u3068\u6642\u70b9\u3054\u3068\u306e\u4e2d\u592e\u5024\u3001\u6700\u5c0f\u5024\u3001\u53ca\u3073\u6700\u5927\u5024\u3092\u8a08\u7b97\u3059\u308b<\/p>\n\n\n\n

\u307e\u305a\u306f\u3001\u7fa4\u306e\u5909\u6570\u304c\u6570\u5024\u578b\u3084\u6587\u5b57\u578b\u3067\u3042\u308b\u53ef\u80fd\u6027\u304c\u9ad8\u3044\u305f\u3081\u3001\u7fa4\u306e\u5909\u6570\u3092\u56e0\u5b50\u578b\u306b\u5909\u63db\u3059\u308b<\/p>\n\n\n\n

\u56e0\u5b50\u578b\u306b\u5909\u63db\u3057\u3066\u304a\u304b\u306a\u3044\u3068\u3001\u6700\u7d42\u7684\u306b\u30b0\u30e9\u30d5\u3092\u66f8\u304f\u3068\u304d\u306b\u3046\u307e\u304f\u66f8\u3051\u306a\u3044\u3053\u3068\u304c\u304a\u304d\u308b\u305f\u3081\u3001\u56e0\u5b50\u578b\u306b\u3057\u3066\u304a\u304f<\/p>\n\n\n\n

\u56e0\u5b50\u578b\u306b\u3059\u308b\u306b\u306f\u3001\u30a2\u30af\u30c6\u30a3\u30d6\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304b\u3089\u300c\u9023\u7d9a\u5909\u6570\u3092\u56e0\u5b50\u306b\u5909\u63db\u300d\u3001\u3082\u3057\u304f\u306f\u300c\u6587\u5b57\u5909\u6570\u3092\u56e0\u5b50\u306b\u5909\u63db\u300d\u306e\u30e1\u30cb\u30e5\u30fc\u3092\u9078\u629e\u3059\u308b<\/p>\n\n\n\n

\u4eca\u56de\u306f 0, 1 \u3068\u3044\u3046\u6570\u5024\u3060\u3063\u305f\u306e\u3067\u3001\u300c\u9023\u7d9a\u5909\u6570\u3092\u56e0\u5b50\u306b\u5909\u63db\u300d\u3092\u9078\u629e\u3057\u305f<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u9023\u7d9a\u5909\u6570\u306e\u30ab\u30c6\u30b4\u30ea\u30ab\u30eb\u30c7\u30fc\u30bf\u3092\u9078\u629e\u3057\u3001\u56e0\u5b50\u6c34\u6e96\u306f\u6570\u5024\u3092\u9078\u629e\u3057\u3066\u3001OK \u3092\u30af\u30ea\u30c3\u30af\u3059\u308b<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u3053\u308c\u3067\u3001\u6e96\u5099\u304c\u6574\u3063\u305f\u306e\u3067\u3001\u7fa4\u3054\u3068\u6642\u70b9\u3054\u3068\u306e\u4e2d\u592e\u5024\u3001\u6700\u5c0f\u5024\u3001\u6700\u5927\u5024\u3092\u8a08\u7b97\u3057\u3066\u3044\u304f<\/p>\n\n\n\n

EZR \u3067\u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306b\u8a08\u7b97\u3059\u308b\u306b\u306f\u3001R \u30b9\u30af\u30ea\u30d7\u30c8\u67a0\u3092\u4f7f\u7528\u3057\u3066\u3044\u304f<\/p>\n\n\n\n

\u4ee5\u4e0b\u306e\u67a0\u306e\u3053\u3068\u3060<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u3053\u3061\u3089\u306b\u3001\u307e\u305a\u306f\u3001\u4ee5\u4e0b\u306e\u3068\u304a\u308a\u66f8\u304f\u306a\u308a\u3001\u30b3\u30d4\u30da\u3057\u3066\u4fee\u6b63\u3059\u308b\u306a\u308a\u3057\u3066\u3001\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u66f8\u304f<\/p>\n\n\n\n

install.packages(\"dplyr\") # 1 \u56de\u3060\u3051\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\nlibrary(dplyr)\ngroup_time_median <-\n  Dataset_long %>%\n  group_by(Treat, Time) %>%\n  summarise(\n    median=median(Y, na.rm=TRUE),\n    min=min(Y, na.rm=TRUE),\n    max=max(Y, na.rm=TRUE)\n  )\ngroup_time_median<\/code><\/pre>\n\n\n\n
dplyr \u3068\u3044\u3046\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3059\u308b<\/p>\n\n\n\n
\u307e\u3060\u3001\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305f\u3053\u3068\u304c\u306a\u3051\u308c\u3070\u3001\u4e00\u56de\u306e\u307f\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b<\/p>\n\n\n\n
\u3053\u3053\u3067\u3001Treat, Time, Y \u306f\u4eca\u56de\u306e\u5909\u6570\u306a\u306e\u3067\u3001\u3054\u81ea\u5206\u306e\u30c7\u30fc\u30bf\u3067\u306f\u3001\u3053\u308c\u306b\u8a72\u5f53\u3059\u308b\u7fa4\u5909\u6570\u3001\u6642\u70b9\u5909\u6570\u3001\u30a2\u30a6\u30c8\u30ab\u30e0\u5909\u6570\u3092\u66f8\u304d\u5165\u308c\u308b<\/p>\n\n\n\n
\u7bc4\u56f2\u9078\u629e\u3057\u3066\u3001\u5b9f\u884c\u3092\u30af\u30ea\u30c3\u30af\u3059\u308b\u3068\u4ee5\u4e0b\u306e\u51fa\u529b\u304c\u4e0b\u306e\u67a0\u306b\u51fa\u73fe\u3059\u308b<\/p>\n\n\n\n
> group_time_median\n# A tibble: 6 \u00d7 5\n# Groups:   Treat [2]\n  Treat Time  median   min   max\n  <fct> <chr>  <dbl> <dbl> <dbl>\n1 0     Y1      46      25    57\n2 0     Y2      62.5    46    84\n3 0     Y3      80      46   106\n4 1     Y1      55.5    45    80\n5 1     Y2      81.5    46   110\n6 1     Y3     103      65   137<\/code><\/pre>\n\n\n\n
Treat \u3054\u3068\u3001Time \u3054\u3068\u306b median, min, max \u304c\u8a08\u7b97\u3055\u308c\u3066\u3044\u308b<\/p>\n\n\n\n
\u3053\u308c\u3067\u30c7\u30fc\u30bf\u306e\u6e96\u5099\u304c\u6574\u3063\u305f<\/p>\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>
\u7fa4\u3054\u3068\u6642\u70b9\u3054\u3068\u306e\u4e2d\u592e\u5024\u6298\u308c\u7dda\u30b0\u30e9\u30d5 \u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u30a8\u30e9\u30fc\u30d0\u30fc\u4ed8\u304d \u3092\u66f8\u304f<\/h2>\n\n\n\n
\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u306e\u30a8\u30e9\u30fc\u30d0\u30fc\u4ed8\u304d\u4e2d\u592e\u5024\u306e\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u306f\u3001\u4ee5\u4e0b\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u3067\u66f8\u3051\u308b<\/p>\n\n\n\n
library(ggplot2)\n# colorful\nggplot(data=group_time_median,aes(x=Time, y=median, group=Treat, color=Treat))+\n  geom_line(position=position_dodge(0.3))+\n  geom_point(aes(color=Treat, shape=Treat), size=3, position=position_dodge(0.3))+\n  geom_errorbar(aes(ymin=min, ymax=max), width=0.2, position=position_dodge(0.3))+\n  labs(x='Time', y='Y')<\/code><\/pre>\n\n\n\n
\u3053\u3061\u3089\u3082\u3001Time, Treat \u306f\u3054\u81ea\u5206\u306e\u5909\u6570\u540d\u306b\u5909\u66f4\u3059\u308b<\/p>\n\n\n\n
\u5168\u90e8\u9078\u629e\u3057\u3066\u5b9f\u884c\u3059\u308b\u3068\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30b0\u30e9\u30d5\u304c\u66f8\u3051\u308b<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u3082\u3057\u3001\u3053\u306e\u3088\u3046\u306a\u30ab\u30e9\u30d5\u30eb\u306a\u30b0\u30e9\u30d5\u3067\u306f\u306a\u304f\u3001\u8ad6\u6587\u7528\u306b\u30e2\u30ce\u30af\u30ed\u306e\u30b7\u30f3\u30d7\u30eb\u306a\u30b0\u30e9\u30d5\u304c\u826f\u3051\u308c\u3070\u3001\u4ee5\u4e0b\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u306b\u306a\u308b<\/p>\n\n\n\n
library(ggplot2)\n# classic\nggplot(data=group_time_median,aes(x=Time, y=median, group=Treat, linetype=Treat))+\n  geom_line(position=position_dodge(0.3))+\n  geom_point(aes(shape=Treat), size=3, position=position_dodge(0.3))+\n  geom_errorbar(aes(ymin=min, ymax=max), width=0.2, position=position_dodge(0.3))+\n  labs(x='Time', y='Y')+\n  theme_classic()<\/code><\/pre>\n\n\n\n
\u3067\u304d\u3042\u304c\u308a\u306f\u4ee5\u4e0b\u306e\u3068\u304a\u308a<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u3053\u3061\u3089\u306e\u307b\u3046\u304c\u3001\u5b66\u8853\u8ad6\u6587\u306b\u306f\u9069\u5207\u306a\u30b0\u30e9\u30d5\u3067\u3042\u308d\u3046<\/p>\n\n\n\n
\u307e\u3068\u3081<\/h2>\n\n\n\n
\u4ee5\u4e0a\u3001EZR \u3068 R \u3092\u4f7f\u3063\u3066\u3001\u53cd\u5fa9\u6e2c\u5b9a\u30c7\u30fc\u30bf\u306e\u7fa4\u3054\u3068\u3001\u6642\u70b9\u3054\u3068\u306e\u4e2d\u592e\u5024\u306e\u6298\u308c\u7dda\u30b0\u30e9\u30d5\u3092\u3001\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u306e\u30a8\u30e9\u30fc\u30d0\u30fc\u3092\u4ed8\u3051\u3066\u3001\u66f8\u304f\u65b9\u6cd5\u3092\u89e3\u8aac\u3057\u305f<\/p>\n\n\n\n
\u30d1\u30c3\u30b1\u30fc\u30b8\u306f dplyr \u3068 ggplot2 \u3092\u7528\u3044\u305f<\/p>\n\n\n\n
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