{"id":9668,"date":"2023-10-03T20:23:10","date_gmt":"2023-10-03T11:23:10","guid":{"rendered":"https:\/\/blogs.mathworks.com\/japan-community\/?p=9668"},"modified":"2023-10-03T20:23:10","modified_gmt":"2023-10-03T11:23:10","slug":"r2023b_pivot_table","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/japan-community\/2023\/10\/03\/r2023b_pivot_table\/","title":{"rendered":"\u3010R2023b\u3011\u30d4\u30dc\u30c3\u30c8\u30c6\u30fc\u30d6\u30eb\u306e\u9032\u5316"},"content":{"rendered":"
\n
\u3053\u3093\u306b\u3061\u306f\uff0c\u9053\u5bb6\u3067\u3059\uff0e\u904b\u52d5\u4f1a\u306e\u6642\u671f\u3067\u3059\u306d\uff0e\u6700\u8fd1\u306f\u6625\u306b\u904b\u52d5\u4f1a\u3092\u3059\u308b\u6240\u3082\u5897\u3048\u3066\u3044\u308b\u3088\u3046\u3067\u3059\u304c\uff0c\u3046\u3061\u306e\u5e7c\u7a1a\u5712\u30fb\u5c0f\u5b66\u6821\u306f\u4eca\u9031\u672b\u3068\u6765\u9031\u672b\u3067\u3059\uff0e\u4eca\u5e74\u306f\u5e7c\u7a1a\u5712\u6700\u5f8c\u306e\u904b\u52d5\u4f1a\u3068\u306a\u308b\u306e\u3067\uff0c\u5c11\u3057\u611f\u6168\u6df1\u3044\u3067\u3059\uff0e<\/span><\/div>\n
\u3055\u3066\uff0c\u5148\u6708 R2023b \u304c\u30ea\u30ea\u30fc\u30b9\u3055\u308c\uff0cX \u3067\u3082 <\/span>#R2023b \u306b\u3064\u3044\u3066\u306e\u30dd\u30b9\u30c8<\/span><\/a>\u304c\u305f\u304f\u3055\u3093\u76ee\u306b\u4ed8\u304d\u307e\u3059\uff0e\u7686\u3055\u3093\u306e\u304a\u6c17\u306b\u5165\u308a\u6a5f\u80fd\u306f\u3069\u308c\u3067\u3059\u304b\uff1f\u307e\u3060\u3067\u3057\u305f\u3089\uff0c\u662f\u975e<\/span>\u30ea\u30ea\u30fc\u30b9\u30ce\u30fc\u30c8<\/span><\/a>\u306b\u76ee\u3092\u901a\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\uff0e<\/span><\/div>\n
R2023a \u304c\u30ea\u30ea\u30fc\u30b9\u3055\u308c\u305f\u6642\u306b<\/span>\u30d4\u30dc\u30c3\u30c8\u30c6\u30fc\u30d6\u30eb<\/span><\/a>\u306b\u3064\u3044\u3066\u306e\u8a18\u4e8b\u3092\u66f8\u304d\u307e\u3057\u305f\uff0e\u4eca\u56de\u306e\u30ea\u30ea\u30fc\u30b9\u3067\u306f\uff0c\u30d4\u30dc\u30c3\u30c8\u30c6\u30fc\u30d6\u30eb\u6a5f\u80fd\u304c\u66f4\u306b\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u3055\u308c\u4f7f\u3044\u3084\u3059\u304f\u306a\u308a\u307e\u3057\u305f\uff0e\u3053\u306e\u8a18\u4e8b\u3067\u306f\u305d\u306e\u65b0\u6a5f\u80fd\u3092\u6df1\u6398\u308a\u3057\u307e\u3059\uff0e<\/span><\/div>\n
\u307e\u305a\u524d\u56de\u3068\u540c\u69d8\uff0c\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u307f\u307e\u3059\uff0e<\/span><\/div>\n
\n
\n
data = readtable(<\/span>“patients.xls”<\/span>, TextType=<\/span>“string”<\/span>)<\/span><\/span><\/div>\n
\n
\n
\n
data = <\/span>100\u00d710 table <\/span><\/div>\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
 <\/span><\/th>\nLastName<\/span><\/th>\nGender<\/span><\/th>\nAge<\/span><\/th>\nLocation<\/span><\/th>\nHeight<\/span><\/th>\nWeight<\/span><\/th>\nSmoker<\/span><\/th>\nSystolic<\/span><\/th>\nDiastolic<\/span><\/th>\nSelfAssessedHealthStatus<\/span><\/th>\n<\/tr>\n<\/thead>\n
1<\/span><\/th>\n“Smith”<\/span><\/td>\n“Male”<\/span><\/td>\n38<\/span><\/td>\n“County General Hospital”<\/span><\/td>\n71<\/span><\/td>\n176<\/span><\/td>\n1<\/span><\/td>\n124<\/span><\/td>\n93<\/span><\/td>\n“Excellent”<\/span><\/td>\n<\/tr>\n
2<\/span><\/th>\n“Johnson”<\/span><\/td>\n“Male”<\/span><\/td>\n43<\/span><\/td>\n“VA Hospital”<\/span><\/td>\n69<\/span><\/td>\n163<\/span><\/td>\n0<\/span><\/td>\n109<\/span><\/td>\n77<\/span><\/td>\n“Fair”<\/span><\/td>\n<\/tr>\n
3<\/span><\/th>\n“Williams”<\/span><\/td>\n“Female”<\/span><\/td>\n38<\/span><\/td>\n“St. Mary’s Medical Center”<\/span><\/td>\n64<\/span><\/td>\n131<\/span><\/td>\n0<\/span><\/td>\n125<\/span><\/td>\n83<\/span><\/td>\n“Good”<\/span><\/td>\n<\/tr>\n
4<\/span><\/th>\n“Jones”<\/span><\/td>\n“Female”<\/span><\/td>\n40<\/span><\/td>\n“VA Hospital”<\/span><\/td>\n67<\/span><\/td>\n133<\/span><\/td>\n0<\/span><\/td>\n117<\/span><\/td>\n75<\/span><\/td>\n“Fair”<\/span><\/td>\n<\/tr>\n
5<\/span><\/th>\n“Brown”<\/span><\/td>\n“Female”<\/span><\/td>\n49<\/span><\/td>\n“County General Hospital”<\/span><\/td>\n64<\/span><\/td>\n119<\/span><\/td>\n0<\/span><\/td>\n122<\/span><\/td>\n80<\/span><\/td>\n“Good”<\/span><\/td>\n<\/tr>\n
6<\/span><\/th>\n“Davis”<\/span><\/td>\n“Female”<\/span><\/td>\n46<\/span><\/td>\n“St. Mary’s Medical Center”<\/span><\/td>\n68<\/span><\/td>\n142<\/span><\/td>\n0<\/span><\/td>\n121<\/span><\/td>\n70<\/span><\/td>\n“Good”<\/span><\/td>\n<\/tr>\n
7<\/span><\/th>\n“Miller”<\/span><\/td>\n“Female”<\/span><\/td>\n33<\/span><\/td>\n“VA Hospital”<\/span><\/td>\n64<\/span><\/td>\n142<\/span><\/td>\n1<\/span><\/td>\n130<\/span><\/td>\n88<\/span><\/td>\n“Good”<\/span><\/td>\n<\/tr>\n
8<\/span><\/th>\n“Wilson”<\/span><\/td>\n“Male”<\/span><\/td>\n40<\/span><\/td>\n“VA Hospital”<\/span><\/td>\n68<\/span><\/td>\n180<\/span><\/td>\n0<\/span><\/td>\n115<\/span><\/td>\n82<\/span><\/td>\n“Good”<\/span><\/td>\n<\/tr>\n
9<\/span><\/th>\n“Moore”<\/span><\/td>\n“Male”<\/span><\/td>\n28<\/span><\/td>\n“St. Mary’s Medical Center”<\/span><\/td>\n68<\/span><\/td>\n183<\/span><\/td>\n0<\/span><\/td>\n115<\/span><\/td>\n78<\/span><\/td>\n“Excellent”<\/span><\/td>\n<\/tr>\n
10<\/span><\/th>\n“Taylor”<\/span><\/td>\n“Female”<\/span><\/td>\n31<\/span><\/td>\n“County General Hospital”<\/span><\/td>\n66<\/span><\/td>\n132<\/span><\/td>\n0<\/span><\/td>\n118<\/span><\/td>\n86<\/span><\/td>\n“Excellent”<\/span><\/td>\n<\/tr>\n
11<\/span><\/th>\n“Anderson”<\/span><\/td>\n“Female”<\/span><\/td>\n45<\/span><\/td>\n“County General Hospital”<\/span><\/td>\n68<\/span><\/td>\n128<\/span><\/td>\n0<\/span><\/td>\n114<\/span><\/td>\n77<\/span><\/td>\n“Excellent”<\/span><\/td>\n<\/tr>\n
12<\/span><\/th>\n“Thomas”<\/span><\/td>\n“Female”<\/span><\/td>\n42<\/span><\/td>\n“St. Mary’s Medical Center”<\/span><\/td>\n66<\/span><\/td>\n137<\/span><\/td>\n0<\/span><\/td>\n115<\/span><\/td>\n68<\/span><\/td>\n“Poor”<\/span><\/td>\n<\/tr>\n
13<\/span><\/th>\n“Jackson”<\/span><\/td>\n“Male”<\/span><\/td>\n25<\/span><\/td>\n“VA Hospital”<\/span><\/td>\n71<\/span><\/td>\n174<\/span><\/td>\n0<\/span><\/td>\n127<\/span><\/td>\n74<\/span><\/td>\n“Poor”<\/span><\/td>\n<\/tr>\n
14<\/span><\/th>\n“White”<\/span><\/td>\n“Male”<\/span><\/td>\n39<\/span><\/td>\n“VA Hospital”<\/span><\/td>\n72<\/span><\/td>\n202<\/span><\/td>\n1<\/span><\/td>\n130<\/span><\/td>\n95<\/span><\/td>\n“Excellent”<\/span><\/td>\n<\/tr>\n
\u22ee<\/th>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n
<\/div>\n
<\/div>\n
<\/div>\n
<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

\u30e9\u30a4\u30d6\u30bf\u30b9\u30af<\/span><\/h3>\n
\u6700\u521d\u306e\u65b0\u6a5f\u80fd\u306f<\/span>\u30e9\u30a4\u30d6\u30bf\u30b9\u30af<\/span><\/a>\uff0e\u3053\u308c\u306f\u5927\u304d\u3044\u3067\u3059\uff0e<\/span>@michio_MWJ<\/span><\/a>\u3055\u3093\u3082\u8a00\u308f\u308c\u3066\u307e\u3059\u304c\uff0c\u30d4\u30dc\u30c3\u30c8\u30c6\u30fc\u30d6\u30eb\u306f\u7d50\u679c\u3092\u898b\u306a\u304c\u3089\u8a66\u884c\u932f\u8aa4\u8a2d\u3059\u308b\u3082\u306e\u306a\u306e\u3067\uff0c\u3053\u306e\u3088\u3046\u306a\u30e9\u30a4\u30d6\u30bf\u30b9\u30af\u306f\u3068\u3066\u3082\u5f79\u7acb\u3061\u307e\u3059\u306d\uff0e<\/span><\/div>\n
\"pivot_live_task.gif\"<\/img><\/div>\n
\u30d4\u30dc\u30c3\u30c8\u30c6\u30fc\u30d6\u30eb\u306b\u95a2\u3057\u3066\u306f\uff0c\u3053\u306e\u30e9\u30a4\u30d6\u30bf\u30b9\u30af\u304c\u4e00\u756a\u4e3b\u3068\u306a\u308b\u65b0\u6a5f\u80fd\u3067\u3042\u308b\u3053\u3068\u306b\u306f\u9593\u9055\u3044\u3042\u308a\u307e\u305b\u3093\u304c\uff0c\u5b9f\u306f\u4ed6\u306b\u3082\u3044\u304f\u3064\u304b\u53d6\u308a\u4e0a\u3052\u305f\u3044\u6a5f\u80fd\u304c\u3042\u308a\u307e\u3059\uff0e<\/span><\/div>\n

\u30c7\u30fc\u30bf\u306e\u30d5\u30a3\u30eb\u30bf\u30fc<\/span><\/h3>\n
\u307e\u305a\u306f\uff0c<\/span>pivot<\/span><\/a> \u306e\u6a5f\u80fd\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u304c\uff0c\u4e0a\u306e\u52d5\u753b\u3067\u3082\u3042\u308a\u307e\u3059\u3088\u3046\u306b\u30e9\u30a4\u30d6\u30bf\u30b9\u30af\u5185\u3067\u30c7\u30fc\u30bf\u306e\u30d5\u30a3\u30eb\u30bf\u30fc\u304c\u3067\u304d\u308b\u3053\u3068\u3067\u3059\uff0e\u30d4\u30dc\u30c3\u30c8\u3059\u308b\u524d\u306b\uff0c\u6b20\u640d\u5024\u3092\u53d6\u308a\u9664\u3044\u305f\u308a\uff0c\u3042\u308b\u6761\u4ef6\u306b\u3042\u3063\u305f\u5024\u3060\u3051\u3092\u5207\u308a\u51fa\u3057\u305f\u308a\uff0c\u524d\u51e6\u7406\u3068\u3057\u3066\u306f\u91cd\u8981\u306a\u30b9\u30c6\u30c3\u30d7\u3067\u3059\uff0e\u30d5\u30a3\u30eb\u30bf\u30fc\u306f\uff0c\u300c<\/span>\u6761\u4ef6\u3092\u6e80\u305f\u3059\u914d\u5217\u8981\u7d20\u306e\u691c\u7d22<\/span><\/a>\u300d\u306b\u3042\u308b\u3088\u3046\u306a\u6a19\u6e96\u7684\u306a\u69cb\u6587\u3067\u3067\u304d\u3066\u3057\u307e\u3044\u307e\u3059\u304c\uff0c\u3053\u308c\u304c\u30e9\u30a4\u30d6\u30bf\u30b9\u30af\u5185\u3067\u76f4\u63a5\u3067\u304d\u308b\u3068\u3044\u3046\u306e\u306f\u3042\u308a\u304c\u305f\u3044\u3067\u3059\u306d\uff0e<\/span><\/div>\n

\u884c\u30e9\u30d9\u30eb<\/span><\/h3>\n
\u6b21\u306b\uff0c\u30d4\u30dc\u30c3\u30c8\u306e\u884c\u5909\u6570\u3092\u3082\u3068\u306b\u884c\u30e9\u30d9\u30eb\u3092\u4f5c\u6210\u3057\u3066\u304f\u308c\u308b\u6a5f\u80fd\u3067\u3059\uff08<\/span>RowLabelPlacement<\/span> \u30d1\u30e9\u30e1\u30fc\u30bf\u30fc<\/span><\/a>\uff09\uff0e\u3053\u3061\u3089\u306e\u4f8b\u3067\u306f\uff0c\u884c\u306e\u30d4\u30dc\u30c3\u30c8\u5909\u6570\u3092 “Gender” \uff08<\/span>Female|Male<\/span>\uff09\u3068 “Smoker” \uff08<\/span>true|false<\/span>\uff09\u306b\u8a2d\u5b9a\u3057\u3066\u3044\u307e\u3059\uff0e\u305d\u308c\u305e\u308c\uff12\u3064\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u304b\u3089\u306a\u3063\u3066\u3044\u308b\u305f\u3081\uff0c\u7d44\u307f\u5408\u308f\u305b\u306f <\/span>Female_false<\/span>\uff0c<\/span>Female_true<\/span>\uff0c<\/span>Male_false<\/span>\uff0c<\/span>Male_true<\/span> \u306e\uff14\u901a\u308a\u3068\u306a\u308a\u307e\u3059\uff0e<\/span><\/div>\n
\n
\n
pivotedData = pivot(data, Rows=[<\/span>“Gender”<\/span>,<\/span>“Smoker”<\/span>], <\/span>…<\/span><\/span><\/div>\n<\/div>\n
\n
Columns=[<\/span>“Location”<\/span>,<\/span>“SelfAssessedHealthStatus”<\/span>], DataVariable=<\/span>“Systolic”<\/span>, Method=<\/span>“mean”<\/span>, <\/span>…<\/span><\/span><\/div>\n<\/div>\n
\n
RowLabelPlacement=<\/span>“rownames”<\/span>)<\/span><\/span><\/div>\n
\n
\n
\n
pivotedData = <\/span>4\u00d73 table <\/span><\/div>\n
\n\n\n\n\n\n\n\n\n\n
 <\/span><\/th>\nCounty General Hospital<\/span><\/th>\nSt. Mary’s Medical Center<\/span><\/th>\nVA Hospital<\/span><\/th>\n<\/tr>\n
Excellent<\/span><\/th>\nFair<\/span><\/th>\nGood<\/span><\/th>\nPoor<\/span><\/th>\nExcellent<\/span><\/th>\nFair<\/span><\/th>\nGood<\/span><\/th>\nPoor<\/span><\/th>\nExcellent<\/span><\/th>\nFair<\/span><\/th>\nGood<\/span><\/th>\nPoor<\/span><\/th>\n<\/tr>\n<\/thead>\n
1 Female_false<\/span><\/th>\n118.8571<\/span><\/td>\n118.5000<\/span><\/td>\n121.7500<\/span><\/td>\nNaN<\/span><\/td>\n115<\/span><\/td>\n123.5000<\/span><\/td>\n120.7500<\/span><\/td>\n116<\/span><\/td>\n119.1250<\/span><\/td>\n118<\/span><\/td>\n116.5000<\/span><\/td>\n121<\/span><\/td>\n<\/tr>\n
2 Female_true<\/span><\/th>\n138<\/span><\/td>\n128<\/span><\/td>\n128.5000<\/span><\/td>\n133.5000<\/span><\/td>\n125<\/span><\/td>\nNaN<\/span><\/td>\n130<\/span><\/td>\nNaN<\/span><\/td>\n134<\/span><\/td>\n122.5000<\/span><\/td>\n126.5000<\/span><\/td>\nNaN<\/span><\/td>\n<\/tr>\n
3 Male_false<\/span><\/th>\n118<\/span><\/td>\n116.5000<\/span><\/td>\n122.6000<\/span><\/td>\n120<\/span><\/td>\n120.6667<\/span><\/td>\nNaN<\/span><\/td>\n120.5000<\/span><\/td>\n118<\/span><\/td>\n120.6667<\/span><\/td>\n109<\/span><\/td>\n116.3333<\/span><\/td>\n120<\/span><\/td>\n<\/tr>\n
4 Male_true<\/span><\/th>\n129.6667<\/span><\/td>\n128<\/span><\/td>\n129.4000<\/span><\/td>\n129<\/span><\/td>\n124<\/span><\/td>\nNaN<\/span><\/td>\n131<\/span><\/td>\nNaN<\/span><\/td>\n132<\/span><\/td>\n124<\/span><\/td>\n130.5000<\/span><\/td>\nNaN<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n
<\/div>\n
<\/div>\n
<\/div>\n
<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\u6a5f\u80fd\u7684\u306b\u306f\u83ef\u3084\u304b\u306a\u3082\u306e\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u304c\uff0c\u5206\u304b\u308a\u6613\u3044\u30e9\u30d9\u30eb\u304c\u3042\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u30c7\u30fc\u30bf\u3092\u6307\u5b9a\u3057\u3084\u3059\u304f\u306a\u308a\u307e\u3059\uff0e\u4f8b\u3048\u3070\uff0c\u7537\u6027\u306e\u55ab\u7159\u8005\u306e\u30c7\u30fc\u30bf\u3092 <\/span>Male_true<\/span> \u3068\u3044\u3046\u30e9\u30d9\u30eb\u3067\u53d6\u308a\u51fa\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\uff0e<\/span><\/div>\n
\n
\n
MaleSmoker = pivotedData(<\/span>“Male_true”<\/span>,:)<\/span><\/span><\/div>\n
\n
\n
\n
MaleSmoker = <\/span>1\u00d73 table <\/span><\/div>\n
\n\n\n\n\n\n\n
 <\/span><\/th>\nCounty General Hospital<\/span><\/th>\nSt. Mary’s Medical Center<\/span><\/th>\nVA Hospital<\/span><\/th>\n<\/tr>\n
Excellent<\/span><\/th>\nFair<\/span><\/th>\nGood<\/span><\/th>\nPoor<\/span><\/th>\nExcellent<\/span><\/th>\nFair<\/span><\/th>\nGood<\/span><\/th>\nPoor<\/span><\/th>\nExcellent<\/span><\/th>\nFair<\/span><\/th>\nGood<\/span><\/th>\nPoor<\/span><\/th>\n<\/tr>\n<\/thead>\n
1 Male_true<\/span><\/th>\n129.6667<\/span><\/td>\n128<\/span><\/td>\n129.4000<\/span><\/td>\n129<\/span><\/td>\n124<\/span><\/td>\nNaN<\/span><\/td>\n131<\/span><\/td>\nNaN<\/span><\/td>\n132<\/span><\/td>\n124<\/span><\/td>\n130.5000<\/span><\/td>\nNaN<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n
<\/div>\n
<\/div>\n
<\/div>\n
<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
R2023a \u3067\u306f\uff0c\u884c\u306e\u30d4\u30dc\u30c3\u30c8\u5909\u6570\u306f\u305d\u308c\u305e\u308c\u30c6\u30fc\u30d6\u30eb\u306e\u5909\u6570\u3068\u3057\u3066\u8868\u793a\u3055\u308c\u307e\u3059\uff0e<\/span><\/div>\n
\n
\n
pivotedData2 = pivot(data, Rows=[<\/span>“Gender”<\/span>,<\/span>“Smoker”<\/span>], <\/span>…<\/span><\/span><\/div>\n<\/div>\n
\n
Columns=[<\/span>“Location”<\/span>,<\/span>“SelfAssessedHealthStatus”<\/span>], DataVariable=<\/span>“Systolic”<\/span>, Method=<\/span>“mean”<\/span>)<\/span><\/span><\/div>\n
\n
\n
\n
pivotedData2 = <\/span>4\u00d75 table <\/span><\/div>\n
\n\n\n\n\n\n\n\n\n\n
 <\/span><\/th>\nGender<\/span><\/th>\nSmoker<\/span><\/th>\nCounty General Hospital<\/span><\/th>\nSt. Mary’s Medical Center<\/span><\/th>\nVA Hospital<\/span><\/th>\n<\/tr>\n
Excellent<\/span><\/th>\nFair<\/span><\/th>\nGood<\/span><\/th>\nPoor<\/span><\/th>\nExcellent<\/span><\/th>\nFair<\/span><\/th>\nGood<\/span><\/th>\nPoor<\/span><\/th>\nExcellent<\/span><\/th>\nFair<\/span><\/th>\nGood<\/span><\/th>\nPoor<\/span><\/th>\n<\/tr>\n<\/thead>\n
1<\/span><\/th>\n“Female”<\/span><\/td>\n0<\/span><\/td>\n118.8571<\/span><\/td>\n118.5000<\/span><\/td>\n121.7500<\/span><\/td>\nNaN<\/span><\/td>\n115<\/span><\/td>\n123.5000<\/span><\/td>\n120.7500<\/span><\/td>\n116<\/span><\/td>\n119.1250<\/span><\/td>\n118<\/span><\/td>\n116.5000<\/span><\/td>\n121<\/span><\/td>\n<\/tr>\n
2<\/span><\/th>\n“Female”<\/span><\/td>\n1<\/span><\/td>\n138<\/span><\/td>\n128<\/span><\/td>\n128.5000<\/span><\/td>\n133.5000<\/span><\/td>\n125<\/span><\/td>\nNaN<\/span><\/td>\n130<\/span><\/td>\nNaN<\/span><\/td>\n134<\/span><\/td>\n122.5000<\/span><\/td>\n126.5000<\/span><\/td>\nNaN<\/span><\/td>\n<\/tr>\n
3<\/span><\/th>\n“Male”<\/span><\/td>\n0<\/span><\/td>\n118<\/span><\/td>\n116.5000<\/span><\/td>\n122.6000<\/span><\/td>\n120<\/span><\/td>\n120.6667<\/span><\/td>\nNaN<\/span><\/td>\n120.5000<\/span><\/td>\n118<\/span><\/td>\n120.6667<\/span><\/td>\n109<\/span><\/td>\n116.3333<\/span><\/td>\n120<\/span><\/td>\n<\/tr>\n
4<\/span><\/th>\n“Male”<\/span><\/td>\n1<\/span><\/td>\n129.6667<\/span><\/td>\n128<\/span><\/td>\n129.4000<\/span><\/td>\n129<\/span><\/td>\n124<\/span><\/td>\nNaN<\/span><\/td>\n131<\/span><\/td>\nNaN<\/span><\/td>\n132<\/span><\/td>\n124<\/span><\/td>\n130.5000<\/span><\/td>\nNaN<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n
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\u3053\u306e\u5834\u5408\uff0c\u7537\u6027\u306e\u55ab\u7159\u8005\u306e\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u51fa\u3059\u306b\u306f\u3053\u306e\u3088\u3046\u306a\u69cb\u6587\u306b\u306a\u308a\u307e\u3059\uff0e<\/span><\/div>\n
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MaleSmoker2 = pivotedData2(pivotedData2.Gender == <\/span>“Male” <\/span>& pivotedData2.Smoker == true,:)<\/span><\/span><\/div>\n
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MaleSmoker2 = <\/span>1\u00d75 table <\/span><\/div>\n
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 <\/span><\/th>\nGender<\/span><\/th>\nSmoker<\/span><\/th>\nCounty General Hospital<\/span><\/th>\nSt. Mary’s Medical Center<\/span><\/th>\nVA Hospital<\/span><\/th>\n<\/tr>\n
Excellent<\/span><\/th>\nFair<\/span><\/th>\nGood<\/span><\/th>\nPoor<\/span><\/th>\nExcellent<\/span><\/th>\nFair<\/span><\/th>\nGood<\/span><\/th>\nPoor<\/span><\/th>\nExcellent<\/span><\/th>\nFair<\/span><\/th>\nGood<\/span><\/th>\nPoor<\/span><\/th>\n<\/tr>\n<\/thead>\n
1<\/span><\/th>\n“Male”<\/span><\/td>\n1<\/span><\/td>\n129.6667<\/span><\/td>\n128<\/span><\/td>\n129.4000<\/span><\/td>\n129<\/span><\/td>\n124<\/span><\/td>\nNaN<\/span><\/td>\n131<\/span><\/td>\nNaN<\/span><\/td>\n132<\/span><\/td>\n124<\/span><\/td>\n130.5000<\/span><\/td>\nNaN<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n
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\u5165\u308c\u5b50\u30c6\u30fc\u30d6\u30eb\u306e\u8868\u793a<\/span><\/h3>\n
\u6700\u5f8c\u306b\uff0c\uff08\u3053\u3061\u3089\u3082 <\/span>pivot<\/span> \u6a5f\u80fd\u3068\u306f\u95a2\u4fc2\u3042\u308a\u307e\u305b\u3093\u304c\uff09\u5165\u308c\u5b50\u306e\u30c6\u30fc\u30d6\u30eb\u304c\u898b\u3084\u3059\u304f\u306a\u308a\u307e\u3057\u305f\uff0e\u4f8b\u3048\u3070\uff0c\u4eca\u56de\u306e\u3088\u3046\u306b\u8907\u6570\u306e\u5217\u5909\u6570\u3067\u30d4\u30dc\u30c3\u30c8\u3057\u305f\u5834\u5408\uff0c\u5165\u308c\u5b50\u306e\u30c6\u30fc\u30d6\u30eb\u304c\u4f5c\u6210\u3055\u308c\u307e\u3059\uff0e<\/span><\/div>\n
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CountryGeneralHospital = pivotedData(:,<\/span>“County General Hospital”<\/span>)<\/span><\/span><\/div>\n
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CountryGeneralHospital = <\/span>4\u00d71 table <\/span><\/div>\n
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 <\/span><\/th>\nCounty General Hospital<\/span><\/th>\n<\/tr>\n
Excellent<\/span><\/th>\nFair<\/span><\/th>\nGood<\/span><\/th>\nPoor<\/span><\/th>\n<\/tr>\n<\/thead>\n
1 Female_false<\/span><\/th>\n118.8571<\/span><\/td>\n118.5000<\/span><\/td>\n121.7500<\/span><\/td>\nNaN<\/span><\/td>\n<\/tr>\n
2 Female_true<\/span><\/th>\n138<\/span><\/td>\n128<\/span><\/td>\n128.5000<\/span><\/td>\n133.5000<\/span><\/td>\n<\/tr>\n
3 Male_false<\/span><\/th>\n118<\/span><\/td>\n116.5000<\/span><\/td>\n122.6000<\/span><\/td>\n120<\/span><\/td>\n<\/tr>\n
4 Male_true<\/span><\/th>\n129.6667<\/span><\/td>\n128<\/span><\/td>\n129.4000<\/span><\/td>\n129<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n
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\u4ee5\u524d\u3067\u3059\u3068\uff0c\u3053\u306e\u3088\u3046\u306b\u5165\u308c\u5b50\u30c6\u30fc\u30d6\u30eb\u306f\u7701\u7565\u3057\u3066\u8868\u793a\u3055\u308c\u307e\u3059\uff0e\u30c6\u30fc\u30d6\u30eb\u306e\u6a5f\u80fd\u3068\u3057\u3066\u306f\u5909\u308f\u308a\u307e\u305b\u3093\u304c\uff0c\u5185\u5bb9\u304c\u4e00\u76ee\u3067\u78ba\u8a8d\u3067\u304d\u308b\u306e\u306f\u4fbf\u5229\u3067\u3059\uff0e<\/span><\/div>\n
\"\"<\/img><\/div>\n

\u304a\u6c17\u306b\u5165\u308a\u6a5f\u80fd\u306f\uff1f<\/span><\/h3>\n
\u8868\u30c7\u30fc\u30bf\u3092\u5206\u6790\u3059\u308b\u3053\u3068\u304c\u591a\u3044\u306e\u3067\uff0c\u500b\u4eba\u7684\u306b\u306f\u30d4\u30dc\u30c3\u30c8\u6a5f\u80fd\u304c\u3069\u3093\u3069\u3093\u826f\u304f\u306a\u3063\u3066\u304d\u3066\u3044\u3066\u5b09\u3057\u3044\u304b\u304e\u308a\u3067\u3059\uff0e<\/span><\/div>\n
\u7686\u3055\u3093\u306e R2023b \u304a\u6c17\u306b\u5165\u308a\u6a5f\u80fd\u3092\u6559\u3048\u3066\u304f\u3060\u3055\u3044\uff0e\u3053\u3061\u3089\u306b\u30b3\u30e1\u30f3\u30c8\u3057\u3066\u3044\u305f\u3060\u3044\u3066\u3082\u3044\u3044\u3067\u3059\u3057\uff0c<\/span>#R2023b<\/span><\/a> \u3067\u30dd\u30b9\u30c8\u3057\u3066\u3044\u305f\u3060\u3044\u3066\u3082\u7d50\u69cb\u3067\u3059\uff0e<\/span><\/div>\n<\/div>\n