{"id":413,"date":"2019-09-15T16:51:34","date_gmt":"2019-09-15T07:51:34","guid":{"rendered":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/median-survival-time-derived-from-five-year-survival-rate-in-r\/"},"modified":"2024-10-05T12:48:05","modified_gmt":"2024-10-05T03:48:05","slug":"median-survival-time-derived-from-five-year-survival-rate-in-r","status":"publish","type":"post","link":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/median-survival-time-derived-from-five-year-survival-rate-in-r\/","title":{"rendered":"R \u3067 5 \u5e74\u751f\u5b58\u7387\u304b\u3089\u9006\u7b97\u3067\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u3092\u6c42\u3081\u308b\u65b9\u6cd5"},"content":{"rendered":"\n

\u304c\u3093\u60a3\u8005\u3055\u3093\u306e\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u30925\u5e74\u751f\u5b58\u7387\u304b\u3089\u9006\u7b97\u3067\u6c42\u3081\u308b\u306b\u306f\u3069\u3046\u3057\u305f\u3089\u3088\u3044\u304b\uff1f<\/p>\n\n\n\n

R \u3067\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3002<\/p>\n\n\n\n\n\n\n\n

5 \u5e74\u751f\u5b58\u7387\u304b\u3089\u9006\u7b97\u3067\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u3092\u6c42\u3081\u308b\u8a08\u7b97\u5f0f<\/h2>\n\n\n\n

\u751f\u5b58\u78ba\u7387\u306f\u3001\u4e00\u822c\u8ad6\u3068\u3057\u3066\u6307\u6570\u95a2\u6570\u3067\u8fd1\u4f3c\u3067\u304d\u308b\u3002<\/p>\n\n\n\n

\u5b9f\u969b\u306b\u306f\u3001\u304c\u3093\u306e\u6cbb\u7642\u5f8c\u3059\u3050\u306b\u306a\u304f\u306a\u3063\u305f\u308a\u3001\u6570\u5e74\u305f\u3063\u3066\u304b\u3089\u6025\u306b\u304a\u4ea1\u304f\u306a\u308a\u306b\u306a\u308b\u65b9\u304c\u5897\u3048\u305f\u308a\u3057\u3066\u3001\u4e00\u5b9a\u3067\u306f\u306a\u3044\u3053\u3068\u304c\u591a\u3044\u306e\u3067\u3001\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u4f7f\u308f\u306a\u3044\u30ab\u30d7\u30e9\u30f3\u30de\u30a4\u30e4\u30fc\u66f2\u7dda\u304c\u4f7f\u308f\u308c\u308b\u3002<\/p>\n\n\n\n

\u30ab\u30d7\u30e9\u30f3\u30de\u30a4\u30e4\u30fc\u66f2\u7dda\u3068\u306f\uff1f<\/p>\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\tR \u3068 EZR \u3067\u30ab\u30d7\u30e9\u30f3\u30de\u30a4\u30e4\u30fc\u66f2\u7dda\u3092\u66f8\u304f\u65b9\u6cd5<\/a>\n\t\t\t\t\t\t\u30ab\u30d7\u30e9\u30f3\u30de\u30a4\u30e4\u30fc\u66f2\u7dda\u306e\u66f8\u304d\u65b9 R \u3068 EZR \u306e\u65b9\u6cd5\u3002 \u30ab\u30d7\u30e9\u30f3\u30de\u30a4\u30e4\u30fc\u66f2\u7dda\u306e\u66f8\u304d\u65b9\u8aac\u660e\u306e\u305f\u3081\u306e\u30b5\u30f3\u30d7\u30eb\u30c7\u30fc\u30bf \u30ab\u30d7\u30e9\u30f3\u30de\u30a4\u30e4\u30fc\u66f2\u7dda\u3092\u63cf\u304d\u305f\u3044\u5834\u5408\u3001\u30a4\u30d9\u30f3\u30c8\u767a\u751f\u306e\u30c7\u30fc…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\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\tR \u3067\u30ab\u30d7\u30e9\u30f3\u30de\u30a4\u30e4\u30fc\u66f2\u7dda\u3092\u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306b\u66f8\u304f\u65b9\u6cd5<\/a>\n\t\t\t\t\t\tR\u3067\u30ab\u30d7\u30e9\u30f3\u30de\u30a4\u30e4\u30fc\u66f2\u7dda\u3092\u66f8\u304f\u65b9\u6cd5\u306e\u7d39\u4ecb\u3002 survfit \u3092\u4f7f\u3063\u305f\u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306e\u66f2\u7dda\u306e\u66f8\u304d\u65b9\u3002 R\u3067\u30ab\u30d7\u30e9\u30f3\u30de\u30a4\u30e4\u30fc\u66f2\u7dda\u3092\u66f8\u304f\u305f\u3081\u306e\u30b5\u30f3\u30d7\u30eb\u30c7\u30fc\u30bf \u30ab\u30d7\u30e9\u30f3\u30de\u30a4\u30e4\u30fc\u66f2\u7dda…<\/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

\u3057\u304b\u3057\u306a\u304c\u3089\u3001\u9006\u7b97\u3067\u6c42\u3081\u308b\u305f\u3081\u306b\u306f\u3001\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u4f7f\u3046\u8a08\u7b97\u65b9\u6cd5\u3092\u4f7f\u3046\u5fc5\u8981\u304c\u3042\u308b\u3002<\/p>\n\n\n\n

\u306a\u306e\u3067\u3001\u8fd1\u4f3c\u7684\u306a\u65b9\u6cd5\u306e\u6307\u6570\u95a2\u6570\u3092\u4f7f\u3063\u305f\u65b9\u6cd5\u3067\u8a08\u7b97\u3059\u308b\u3002<\/p>\n\n\n\n

5\u5e74\u751f\u5b58\u7387\uff08Five year survival rate, R\u3068\u3059\u308b\uff09\u306f\u3001\u4ee5\u4e0b\u306e\u5f0f\u3067\u6c42\u3081\u3089\u308c\u308b\u3002<\/p>\n\n\n\n

$$ R = (1 – r)^5 $$<\/p>\n\n\n\n\n\n\n\n

\u3053\u3053\u3067\u3001r \u306f\u3001\u5e74\u9593\u6b7b\u4ea1\u7387\uff08Annual death rate\uff09\u3067\u3042\u308a\u3001\u4e00\u5b9a\u3067\u3042\u308b\u3053\u3068\u304c\u6761\u4ef6\u3002<\/p>\n\n\n\n

r \u3092\u6c42\u3081\u308b\u3088\u3046\u306b\u5f0f\u3092\u5909\u5f62\u3059\u308b\u3068\u4ee5\u4e0b\u306e\u901a\u308a\u306b\u306a\u308b\u3002<\/p>\n\n\n\n

$$ r = 1 – R^{1\/5} $$<\/p>\n\n\n\n\n\n\n\n

\u751f\u5b58\u7387\u4e2d\u592e\u5024\u306f\u3001\u751f\u5b58\u73870.5\u3092\u610f\u5473\u3059\u308b\u3002<\/p>\n\n\n\n

\u751f\u5b58\u73870.5\u306b\u306a\u308b\u307e\u3067\u306e\u6642\u9593\u3092\u751f\u5b58\u6642\u9593\u4e2d\u592e\u5024\uff08Median survival time, t \u3068\u3059\u308b\uff09\u3068\u547c\u3076\u3002<\/p>\n\n\n\n

$$ 0.5 = (1 – r)^t $$<\/p>\n\n\n\n\n\n\n\n

\u751f\u5b58\u6642\u9593\u4e2d\u592e\u5024 (t) \u306f\u3001\u4e0a\u8a18\u306e\u5f0f\u306e\u4e21\u8fba\u3068\u3082\u81ea\u7136\u5bfe\u6570\u3092\u53d6\u308a\u3001\u5f0f\u5c55\u958b\u3059\u308c\u3070\u6c42\u3081\u3089\u308c\u308b\u3002<\/p>\n\n\n\n

$$ \\log(0.5) = t \\log(1 – r) $$<\/p>\n\n\n\n

$$ t = \\frac{\\log(0.5)}{\\log(1 – r)} $$<\/p>\n\n\n\n\n\n\n\n

\u3053\u308c\u3067\u30015\u5e74\u751f\u5b58\u7387\u304b\u3089\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u3092\u9006\u7b97\u3067\u6c42\u3081\u3089\u308c\u305f\u3002<\/p>\n\n\n\n

\u5b9f\u4f8b\u3092\u3082\u3068\u306b 5 \u5e74\u751f\u5b58\u7387\u304b\u3089\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u3092\u9006\u7b97\u3067\u6c42\u3081\u308b\u4f8b<\/h2>\n\n\n\n

\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u30925\u5e74\u751f\u5b58\u7387\u304b\u3089\u9006\u7b97\u3067\u6c42\u3081\u308b\u4f8b\u984c\u306f\u3001\u5168\u304c\u3093\u5354\u306e\u751f\u5b58\u7387\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u307f\u308b\u3002<\/p>\n\n\n\n

https:\/\/www.zengankyo.ncc.go.jp\/etc\/seizonritsu\/seizonritsu2010.html<\/a><\/p>\n\n\n\n\n\n\n\n

\u751f\u5b58\u7387\u30c7\u30fc\u30bf\u304b\u3089\u3001\u4ee3\u8868\u7684\u306a\u304c\u3093\u3001\u80c3\u304c\u3093\u3001\u5927\u8178\u304c\u3093\u3001\u4e73\u304c\u3093\u3001\u80ba\u304c\u3093\u3001\u809d\u304c\u3093\u3001\u81b5\u304c\u3093\u306e\u7b2cIV\u671f\u306e\u76f8\u5bfe\u751f\u5b58\u7387\u3092\u4f7f\u3063\u3066\u3001\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u3092\u9006\u7b97\u3057\u3066\u307f\u308b\u3002<\/p>\n\n\n\n

\u80c3\u304c\u3093 6.9%\u3001\u5927\u8178\u304c\u3093 22.0%\u3001\u4e73\u304c\u3093 38.5\uff05\u3001\u80ba\u304c\u3093 4.9\uff05\u3001\u809d\u304c\u3093 1.7\uff05\u3001\u81b5\u304c\u3093 1.5\uff05\u3067\u3042\u308b\u3002<\/p>\n\n\n\n

R \u3067\u8a08\u7b97\u3059\u308b\u30b9\u30af\u30ea\u30d7\u30c8\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002<\/p>\n\n\n\n

R.pct <-<\/span> c<\/span>(<\/span>6.9<\/span>,<\/span>22.0<\/span>,<\/span>38.5<\/span>,<\/span>4.9<\/span>,<\/span>1.7<\/span>,<\/span>1.5<\/span>)<\/span>\ncancer.name <-<\/span> c<\/span>(<\/span>\"Stomach\"<\/span>,<\/span>\"Colorectal\"<\/span>,<\/span>\"Breast\"<\/span>,<\/span>\"Lung\"<\/span>,<\/span>\"Liver\"<\/span>,<\/span>\"Pancreas\"<\/span>)<\/span>\nnames<\/span>(<\/span>R.pct)<\/span> <-<\/span> cancer.name\nR.pct\n<\/code><\/pre>\n\n\n\n
R.pct\u3068\u3044\u3046\u30d9\u30af\u30c8\u30eb\u306b\u683c\u7d0d\u3057\u305f\u3002<\/p>\n\n\n\n
><\/span> R.pct\nStomach Colorectal     Breast       Lung      Liver   Pancreas\n6.9<\/span>       22.0<\/span>       38.5<\/span>        4.9<\/span>        1.7<\/span>        1.5<\/span>\n<\/code><\/pre>\n\n\n\n
5 \u5e74\u751f\u5b58\u7387\u304b\u3089\u5e74\u9593\u6b7b\u4ea1\u7387\u3092\u9006\u7b97\u3059\u308b\u3002<\/p>\n\n\n\n
R <-<\/span> R.pct\/<\/span>100<\/span>\nr <-<\/span> 1<\/span>-<\/span>R^<\/span>(<\/span>1<\/span>\/<\/span>5<\/span>)<\/span>\nround<\/span>(<\/span>r*<\/span>100<\/span>,<\/span>1<\/span>)<\/span>\n<\/code><\/pre>\n\n\n\n
\u5e74\u9593\u6b7b\u4ea1\u7387\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002<\/p>\n\n\n\n
\u4e00\u756a\u4f4e\u3044\u306e\u306f\u4e73\u304c\u3093\u306717.4%\u3001\u4e00\u756a\u9ad8\u3044\u306e\u306f\u81b5\u304c\u3093 56.8%\u3002<\/p>\n\n\n\n
><\/span> round<\/span>(<\/span>r*<\/span>100<\/span>,<\/span>1<\/span>)<\/span>\nStomach Colorectal     Breast       Lung      Liver   Pancreas\n41.4<\/span>       26.1<\/span>       17.4<\/span>       45.3<\/span>       55.7<\/span>       56.8<\/span>\n<\/code><\/pre>\n\n\n\n
\u5e74\u9593\u6b7b\u4ea1\u7387\u304b\u3089\u3001\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u3092\u9006\u7b97\u3059\u308b\u3002<\/p>\n\n\n\n
t <-<\/span> log<\/span>(<\/span>0.5<\/span>)<\/span>\/<\/span>log<\/span>(<\/span>1<\/span>-<\/span>r)<\/span>\nround<\/span>(<\/span>t,<\/span>2<\/span>)<\/span>\n<\/code><\/pre>\n\n\n\n
\u5e74\u9593\u6b7b\u4ea1\u7387\u304c\u9ad8\u3051\u308c\u3070\u3001\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u306f\u77ed\u304f\u306a\u308b\u3002<\/p>\n\n\n\n
\u4e00\u756a\u77ed\u3044\u306e\u306f\u3001\u5e74\u9593\u6b7b\u4ea1\u7387\u304c\u6700\u3082\u9ad8\u3044\u81b5\u304c\u3093\u3067\u30010.83\u5e74\u3002<\/p>\n\n\n\n
><\/span> round<\/span>(<\/span>t,<\/span>2<\/span>)<\/span>\nStomach Colorectal     Breast       Lung      Liver   Pancreas\n1.30<\/span>       2.29<\/span>       3.63<\/span>       1.15<\/span>       0.85<\/span>       0.83<\/span>\n<\/code><\/pre>\n\n\n\n
\u691c\u7b97\u3057\u3066\u307f\u308b\u3002<\/p>\n\n\n\n
5\u5e74\u3068\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u3067\u3001\u751f\u5b58\u7387\u304c\u3069\u3046\u306a\u308b\u304b\u306e\u8a08\u7b97\u3060\u3002<\/p>\n\n\n\n
(<\/span>1<\/span>-<\/span>r)<\/span>^<\/span>5<\/span>\n(<\/span>1<\/span>-<\/span>r)<\/span>^<\/span>t\n<\/code><\/pre>\n\n\n\n
5\u5e74\u751f\u5b58\u7387\u306f\u3001\u30c7\u30fc\u30bf\u3068\u3057\u3066\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8\u306e\u8868\u304b\u3089\u62bd\u51fa\u3057\u305f\u5024\u306b\u623b\u3063\u305f\u3002<\/p>\n\n\n\n
100\u500d\u3059\u308c\u3070\u30d1\u30fc\u30bb\u30f3\u30c8\u3068\u540c\u3058\u306b\u306a\u308b\u3002<\/p>\n\n\n\n
\u307e\u305f\u3001\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u306e\u3079\u304d\u4e57\u306f\u3001\u3059\u3079\u30660.5\u3068\u306a\u3063\u305f\u3002<\/p>\n\n\n\n
\u9593\u9055\u3044\u306a\u304f\u8a08\u7b97\u51fa\u6765\u3066\u3044\u308b\u3002<\/p>\n\n\n\n
><\/span> (<\/span>1<\/span>-<\/span>r)<\/span>^<\/span>5<\/span>\nStomach Colorectal     Breast       Lung      Liver   Pancreas\n0.069<\/span>      0.220<\/span>      0.385<\/span>      0.049<\/span>      0.017<\/span>      0.015<\/span>\n><\/span> (<\/span>1<\/span>-<\/span>r)<\/span>^<\/span>t\nStomach Colorectal     Breast       Lung      Liver   Pancreas\n0.5<\/span>        0.5<\/span>        0.5<\/span>        0.5<\/span>        0.5<\/span>        0.5<\/span>\n<\/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>
\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u3092\u793a\u3057\u305f\u30b0\u30e9\u30d5\u3092\u66f8\u3044\u3066\u307f\u308b<\/h2>\n\n\n\n
\u5e74\u9593\u6b7b\u4ea1\u7387\u304c\u8a08\u7b97\u3067\u304d\u305f\u3068\u3053\u308d\u3067\u3001\u6307\u6570\u95a2\u6570\u3068\u8003\u3048\u3066\u3001\u30b0\u30e9\u30d5\u306b\u63cf\u3044\u3066\u307f\u308b\u3002<\/p>\n\n\n\n
\u6642\u9593\u30bc\u30ed\u304b\u3089\u30015\u5e74\u307e\u3067\u3092100\u5206\u5272\u3059\u308b\u3002<\/p>\n\n\n\n
x <-<\/span> 0<\/span>:<\/span>500<\/span>\/<\/span>100<\/span>\nsummary<\/span>(<\/span>x)<\/span>\n<\/code><\/pre>\n\n\n\n
\u4e2d\u592e\u5024\u304c2.5\u5e74\u3067\u3042\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3059\u308b\u3002<\/p>\n\n\n\n
><\/span> summary<\/span>(<\/span>x)<\/span>\nMin. 1st Qu.  Median    Mean 3rd Qu.    Max.\n0.00<\/span>    1.25<\/span>    2.50<\/span>    2.50<\/span>    3.75<\/span>    5.00<\/span>\n<\/code><\/pre>\n\n\n\n
\u516d\u3064\u306e\u304c\u3093\u7a2e\u30015\u5e74\u9593\u5206\u306e\u5ea7\u6a19\u3092\u683c\u7d0d\u3059\u308b\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u7528\u610f\u3059\u308b\u3002<\/p>\n\n\n\n
\u5168\u90e8\u30bc\u30ed\u304c\u5272\u308a\u5f53\u3066\u3089\u308c\u308b\u3002<\/p>\n\n\n\n
sr <-<\/span> data.frame<\/span>(<\/span>matrix<\/span>(<\/span>rep<\/span>(<\/span>numeric<\/span>(<\/span>501<\/span>),<\/span>6<\/span>),<\/span>nc=<\/span>6<\/span>))<\/span>\ncolnames<\/span>(<\/span>sr)<\/span> <-<\/span> cancer.name\nstr<\/span>(<\/span>sr)<\/span>\n<\/code><\/pre>\n\n\n\n
sr\u306e\u5185\u5bb9\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002<\/p>\n\n\n\n
><\/span> str<\/span>(<\/span>sr)<\/span>\n'data.frame'<\/span>:<\/span>   501<\/span> obs. of  6<\/span> variables:<\/span>\n$<\/span> Stomach   :<\/span> num  0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> ...\n$<\/span> Colorectal:<\/span> num  0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> ...\n$<\/span> Breast    :<\/span> num  0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> ...\n$<\/span> LungAdeno :<\/span> num  0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> ...\n$<\/span> Liver     :<\/span> num  0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> ...\n$<\/span> Pancreas  :<\/span> num  0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> 0<\/span> ...\n<\/code><\/pre>\n\n\n\n
\u5e74\u9593\u6b7b\u4ea1\u7387 r \u3068\u89b3\u5bdf\u6642\u70b9 x \u3092\u4f7f\u3063\u3066\u3001\u89b3\u5bdf\u6642\u70b9\u306e\u751f\u5b58\u7387\u3092\u8a08\u7b97\u3057\u3066\u3001sr \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u683c\u7d0d\u3057\u3066\u3044\u304f\u3002<\/p>\n\n\n\n
for<\/span>(<\/span>i in<\/span> 1<\/span>:<\/span>6<\/span>){<\/span>\nsr[,<\/span>i]<\/span> <-<\/span> (<\/span>1<\/span>-<\/span>r[<\/span>i])<\/span>^<\/span>x\n}<\/span>\nstr<\/span>(<\/span>sr)<\/span>\nsummary<\/span>(<\/span>sr)<\/span>\n<\/code><\/pre>\n\n\n\n
\u8a08\u7b97\u3055\u308c\u3066\u683c\u7d0d\u3055\u308c\u305f\u30c7\u30fc\u30bf\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002<\/p>\n\n\n\n
><\/span> str(<\/span>sr)<\/span>\n'data.frame':<\/span>   501<\/span> obs. of  6<\/span> variables:<\/span>\n$<\/span> Stomach   :<\/span> num  1<\/span> 0.995<\/span> 0.989<\/span> 0.984<\/span> 0.979<\/span> ...\n$<\/span> Colorectal:<\/span> num  1<\/span> 0.997<\/span> 0.994<\/span> 0.991<\/span> 0.988<\/span> ...\n$<\/span> Breast    :<\/span> num  1<\/span> 0.998<\/span> 0.996<\/span> 0.994<\/span> 0.992<\/span> ...\n$<\/span> Lung      :<\/span> num  1<\/span> 0.994<\/span> 0.988<\/span> 0.982<\/span> 0.976<\/span> ...\n$<\/span> Liver     :<\/span> num  1<\/span> 0.992<\/span> 0.984<\/span> 0.976<\/span> 0.968<\/span> ...\n$<\/span> Pancreas  :<\/span> num  1<\/span> 0.992<\/span> 0.983<\/span> 0.975<\/span> 0.967<\/span> ...\n\n><\/span> summary(<\/span>sr)<\/span>\nStomach         Colorectal         Breast            Lung\nMin.   :0.0690<\/span>   Min.   :0.2200<\/span>   Min.   :0.3850<\/span>   Min.   :0.0490<\/span>\n1st Qu.:0.1346<\/span>   1st Qu.:0.3212<\/span>   1st Qu.:0.4888<\/span>   1st Qu.:0.1041<\/span>\nMedian :0.2627<\/span>   Median :0.4690<\/span>   Median :0.6205<\/span>   Median :0.2214<\/span>\nMean   :0.3486<\/span>   Mean   :0.5153<\/span>   Mean   :0.6444<\/span>   Mean   :0.3157<\/span>\n3rd Qu.:0.5125<\/span>   3rd Qu.:0.6849<\/span>   3rd Qu.:0.7877<\/span>   3rd Qu.:0.4705<\/span>\nMax.   :1.0000<\/span>   Max.   :1.0000<\/span>   Max.   :1.0000<\/span>   Max.   :1.0000<\/span>\nLiver            Pancreas\nMin.   :0.01700<\/span>   Min.   :0.01500<\/span>\n1st Qu.:0.04708<\/span>   1st Qu.:0.04286<\/span>\nMedian :0.13038<\/span>   Median :0.12247<\/span>\nMean   :0.24179<\/span>   Mean   :0.23509<\/span>\n3rd Qu.:0.36109<\/span>   3rd Qu.:0.34996<\/span>\nMax.   :1.00000<\/span>   Max.   :1.00000<\/span>\n<\/code><\/pre>\n\n\n\n
\u30c7\u30fc\u30bf\u3092\u30b0\u30e9\u30d5\u306b\u63cf\u304f\u3002<\/p>\n\n\n\n
\u307e\u305a\u6700\u521d\u306e\u304c\u3093\u7a2e\u3067plot()\u3057\u3066\u3001\u305d\u306e\u307b\u304b\u306e\u304c\u3093\u7a2e\u306f\u3001lines()\u3067\u63cf\u304d\u3053\u3080\u3068\u3044\u3046\u65b9\u6cd5\u3092\u53d6\u3063\u3066\u3044\u308b\u3002<\/p>\n\n\n\n
abline()\u3067\u3001Y\u8ef80.5\u306e\u3068\u3053\u308d\u306b\u6c34\u5e73\u7dda\u3092\u5f15\u3044\u305f\u3002<\/p>\n\n\n\n
\u3053\u308c\u304c\u751f\u5b58\u7387\u4e2d\u592e\u5024\u3067\u3042\u308b\u3002<\/p>\n\n\n\n
\u305d\u308c\u305e\u308c\u306e\u30b0\u30e9\u30d5\u306e\u7dda\u3068Y\u8ef80.5\u306e\u6c34\u5e73\u7dda\u304c\u4ea4\u308f\u308b\u70b9\u304c\u3001\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u3067\u3001\u305d\u308c\u305e\u308c\u5782\u76f4\u7dda\u3092\u7834\u7dda\u3067\u5165\u308c\u305f\u3002<\/p>\n\n\n\n
with<\/span>(<\/span>sr,<\/span>plot<\/span>(<\/span>x,<\/span>sr[,<\/span>1<\/span>],<\/span>ylim=<\/span>c<\/span>(<\/span>0<\/span>,<\/span>1<\/span>),<\/span>las=<\/span>1<\/span>,<\/span>ylab=<\/span>\"Survival Rate\"<\/span>,<\/span>xlab=<\/span>\"Time(years)\"<\/span>,<\/span>type=<\/span>\"l\"<\/span>,<\/span>lwd=<\/span>2<\/span>,<\/span>col=<\/span>1<\/span>,<\/span>yaxp=<\/span>c<\/span>(<\/span>0<\/span>,<\/span>1<\/span>,<\/span>10<\/span>)))<\/span>\nfor<\/span>(<\/span>i in<\/span> 2<\/span>:<\/span>6<\/span>){<\/span>\nwith<\/span>(<\/span>sr,<\/span>lines<\/span>(<\/span>x,<\/span>sr[,<\/span>i],<\/span>lwd=<\/span>2<\/span>,<\/span>col=<\/span>i))<\/span>\n}<\/span>\nabline<\/span>(<\/span>h=<\/span>0.5<\/span>)<\/span>\nfor<\/span>(<\/span>i in<\/span> 1<\/span>:<\/span>6<\/span>){<\/span>\narrows<\/span>(<\/span>t[<\/span>i],<\/span>0<\/span>,<\/span>t[<\/span>i],<\/span>0.5<\/span>,<\/span>length=<\/span>0<\/span>,<\/span>lty=<\/span>2<\/span>,<\/span>col=<\/span>i)<\/span>\n}<\/span>\nop <-<\/span> par<\/span>(<\/span>bg =<\/span> \"antiquewhite1\"<\/span>)<\/span>\nlegend<\/span>(<\/span>\"topright\"<\/span>,<\/span>cancer.name,<\/span>col=<\/span>1<\/span>:<\/span>6<\/span>,<\/span>lwd=<\/span>2<\/span>)<\/span>\npar<\/span>(<\/span>op)<\/span>\n<\/code><\/pre>\n\n\n\n
\u51fa\u6765\u4e0a\u304c\u308a\u306f\u3053\u3061\u3089\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/span><\/p>\n\n\n\n
\u307e\u3068\u3081<\/h2>\n\n\n\n
\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u30925\u5e74\u751f\u5b58\u7387\u304b\u3089\u9006\u7b97\u3067\u6c42\u3081\u308b\u65b9\u6cd5\u3092\u307e\u3068\u3081\u305f\u3002<\/p>\n\n\n\n
\u304c\u3093\u306e\u81e8\u5e8a\u8a66\u9a13\u30fb\u81e8\u5e8a\u7814\u7a76\u306e\u8ad6\u6587\u306b\u306f\u901a\u5e38\u3001\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u30685\u5e74\u751f\u5b58\u7387\u306e\u4e21\u65b9\u304c\u63b2\u8f09\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u304c\u307b\u3068\u3093\u3067\u3042\u308b\u304c\u3001\u3069\u3061\u3089\u304b\u3057\u304b\u306a\u3044\u5834\u5408\u3082\u3042\u308b\u3002<\/p>\n\n\n\n
\u305d\u3046\u3044\u3046\u5834\u5408\u306b\u4f7f\u3048\u308b\u65b9\u6cd5\u3060\u3002<\/p>\n\n\n\n
\u307e\u305f\u3001\u89b3\u5bdf\u671f\u9593\u304c\u77ed\u304f5\u5e74\u307e\u3067\u5230\u9054\u3057\u3066\u3044\u306a\u3044\u3053\u3068\u3082\u3042\u308b\u3002<\/p>\n\n\n\n
\u305d\u3093\u306a\u5834\u5408\u306b\u3082\u5fdc\u7528\u53ef\u80fd\u3060\u3002<\/p>\n\n\n\n
\u30a8\u30af\u30bb\u30eb\u3067\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u8a08\u7b97<\/h2>\n\n\n\n
\u30a8\u30af\u30bb\u30eb\u3067\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u3092\u8a08\u7b97\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3057\u305f\u3002<\/p>\n\n\n\n
\u307e\u305f\u3001\u751f\u5b58\u671f\u9593\u304b\u3089\u751f\u5b58\u7387\u3092\u8a08\u7b97\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3082\u4f5c\u6210\u3057\u305f\u3002<\/p>\n\n\n\n
\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u306e\u30c7\u30fc\u30bf\u304c\u3042\u308c\u3070\u30015\u5e74\u751f\u5b58\u7387\u3092\u4e88\u6e2c\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3068\u3044\u3046\u3053\u3068\u3060\u3002<\/p>\n\n\n\n
\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u30a4\u30e1\u30fc\u30b8\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/span><\/p>\n\n\n\n
\u9ed2\u67a0\u306e\u5024\u3092\u5909\u66f4\u3059\u308b\u3068\u3001\u9ec4\u8272\u30cf\u30a4\u30e9\u30a4\u30c8\u306e\u6570\u5024\u304c\u5909\u308f\u308b\u3002<\/p>\n\n\n\n
\u9ec4\u8272\u30cf\u30a4\u30e9\u30a4\u30c8\u30bb\u30eb\u306e\u6570\u5024\u304c\u6c42\u3081\u308b\u6570\u5024\u3060\u3002<\/p>\n\n\n\n
\u3082\u3057\u3088\u308d\u3057\u3051\u308c\u3070\u3002<\/p>\n\n\n\n
\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024 \u8a08\u7b97\u6a5f\u3010\u30a8\u30af\u30bb\u30eb\u8a08\u7b97\u6a5f\u3011 | TKER SHOP<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u304c\u3093\u60a3\u8005\u3055\u3093\u306e\u751f\u5b58\u671f\u9593\u4e2d\u592e\u5024\u30925\u5e74\u751f\u5b58\u7387\u304b\u3089\u9006\u7b97\u3067\u6c42\u3081\u308b\u306b\u306f\u3069\u3046\u3057\u305f\u3089\u3088\u3044\u304b\uff1f R \u3067\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3002<\/p>\n","protected":false},"author":2,"featured_media":2414,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"swell_btn_cv_data":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[5,30,37,122],"tags":[],"class_list":["post-413","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-r","category-30","category-37","category-122"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/best-biostatistics.com\/toukei-er\/wp-content\/uploads\/2019\/09\/20190915164252.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/413","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/comments?post=413"}],"version-history":[{"count":2,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/413\/revisions"}],"predecessor-version":[{"id":2416,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/413\/revisions\/2416"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/media\/2414"}],"wp:attachment":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/media?parent=413"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/categories?post=413"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/tags?post=413"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}