{"id":428,"date":"2023-04-12T03:35:55","date_gmt":"2023-04-12T03:35:55","guid":{"rendered":"https:\/\/yunshangtulv.com.cn\/?p=428"},"modified":"2023-04-12T03:35:55","modified_gmt":"2023-04-12T03:35:55","slug":"r%e8%af%ad%e8%a8%80%e5%9f%ba%e7%a1%80%e7%bb%9f%e8%ae%a1%e7%a4%ba%e4%be%8b%ef%bc%9a%e6%a0%87%e5%87%86%e5%88%86%e5%b8%83","status":"publish","type":"post","link":"https:\/\/yunshangtulv.com.cn\/?p=428","title":{"rendered":"R\u8bed\u8a00\u57fa\u7840\u7edf\u8ba1\u793a\u4f8b\uff1a\u6807\u51c6\u5206\u5e03"},"content":{"rendered":"
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R\u8bed\u8a00\u63d0\u4f9b\u4e86\u8bb8\u591a\u7528\u4e8e\u5904\u7406\u6982\u7387\u5206\u5e03\u7684\u51fd\u6570\uff0c\u5176\u4e2d\u6807\u51c6\u5206\u5e03\uff08\u5982\u6b63\u6001\u5206\u5e03\u3001\u5361\u65b9\u5206\u5e03\u3001t\u5206\u5e03\u548cF\u5206\u5e03\u7b49\uff09\u5c24\u4e3a\u5e38\u7528\u3002\u4ee5\u4e0b\u662f\u5173\u4e8eR\u8bed\u8a00\u4e2d\u6807\u51c6\u5206\u5e03\u7684\u8be6\u89e3\u548c\u5e94\u7528\u5b9e\u4f8b\uff1a<\/p>\n

    \n
  1. \n

    \u6b63\u6001\u5206\u5e03\uff08Normal Distribution\uff09\uff1a<\/h2>\n<\/li>\n<\/ol>\n

    \u6b63\u6001\u5206\u5e03\u662f\u4e00\u79cd\u8fde\u7eed\u6982\u7387\u5206\u5e03\uff0c\u5176\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\u5448\u949f\u5f62\uff0c\u7531\u5747\u503c\uff08\u03bc\uff09\u548c\u6807\u51c6\u5dee\uff08\u03c3\uff09\u4e24\u4e2a\u53c2\u6570\u51b3\u5b9a\u3002<\/p>\n

    R\u8bed\u8a00\u63d0\u4f9b\u4ee5\u4e0b\u4e0e\u6b63\u6001\u5206\u5e03\u76f8\u5173\u7684\u51fd\u6570\uff1a<\/p>\n

      \n
    • dnorm(x, mean = 0, sd = 1)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u503cx\u7684\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\uff08PDF\uff09\u503c\u3002<\/li>\n
    • pnorm(q, mean = 0, sd = 1)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u503cq\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\uff08CDF\uff09\u503c\u3002<\/li>\n
    • qnorm(p, mean = 0, sd = 1)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u6982\u7387p\u7684\u5206\u4f4d\u6570\uff08inverse CDF\uff09\u503c\u3002<\/li>\n
    • rnorm(n, mean = 0, sd = 1)<\/code>\uff1a\u4ece\u6b63\u6001\u5206\u5e03\u4e2d\u751f\u6210n\u4e2a\u968f\u673a\u6570\u3002<\/li>\n<\/ul>\n

      \u5e94\u7528\u5b9e\u4f8b\uff1a<\/p>\n

      <\/div>\n
      \n
      # \u8ba1\u7b97\u6b63\u6001\u5206\u5e03\u7684\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\u503c<\/span>
      \npdf_value <-<\/span> dnorm(<\/span>1.5<\/span>,<\/span> mean =<\/span> 0<\/span>,<\/span> sd =<\/span> 1<\/span>)<\/span><\/p>\n

      # \u8ba1\u7b97\u6b63\u6001\u5206\u5e03\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\u503c<\/span>
      \ncdf_value <-<\/span> pnorm(<\/span>1.5<\/span>,<\/span> mean =<\/span> 0<\/span>,<\/span> sd =<\/span> 1<\/span>)<\/span><\/p>\n

      # \u8ba1\u7b97\u6b63\u6001\u5206\u5e03\u7684\u5206\u4f4d\u6570\u503c<\/span>
      \nquantile_value <-<\/span> qnorm(<\/span>0.95<\/span>,<\/span> mean =<\/span> 0<\/span>,<\/span> sd =<\/span> 1<\/span>)<\/span><\/p>\n

      # \u751f\u6210\u6b63\u6001\u5206\u5e03\u7684\u968f\u673a\u6570<\/span>
      \nrandom_numbers <-<\/span> rnorm(<\/span>100<\/span>,<\/span> mean =<\/span> 0<\/span>,<\/span> sd =<\/span> 1<\/span>)<\/span><\/code><\/div>\n<\/div>\n

        \n
      1. \n

        \u5361\u65b9\u5206\u5e03\uff08Chi-Square Distribution\uff09\uff1a<\/h2>\n<\/li>\n<\/ol>\n

        \u5361\u65b9\u5206\u5e03\u662f\u4e00\u79cd\u7279\u6b8a\u7684\u4f3d\u9a6c\u5206\u5e03\uff0c\u7528\u4e8e\u72ec\u7acb\u6b63\u6001\u968f\u673a\u53d8\u91cf\u7684\u5e73\u65b9\u548c\u3002\u5361\u65b9\u5206\u5e03\u7531\u81ea\u7531\u5ea6\uff08k\uff09\u53c2\u6570\u51b3\u5b9a\u3002<\/p>\n

        R\u8bed\u8a00\u63d0\u4f9b\u4ee5\u4e0b\u4e0e\u5361\u65b9\u5206\u5e03\u76f8\u5173\u7684\u51fd\u6570\uff1a<\/p>\n

          \n
        • dchisq(x, df)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u503cx\u7684\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\u503c\u3002<\/li>\n
        • pchisq(q, df)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u503cq\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\u503c\u3002<\/li>\n
        • qchisq(p, df)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u6982\u7387p\u7684\u5206\u4f4d\u6570\u503c\u3002<\/li>\n
        • rchisq(n, df)<\/code>\uff1a\u4ece\u5361\u65b9\u5206\u5e03\u4e2d\u751f\u6210n\u4e2a\u968f\u673a\u6570\u3002<\/li>\n<\/ul>\n

          \u5e94\u7528\u5b9e\u4f8b\uff1a<\/p>\n

          <\/div>\n
          \n
          # \u8ba1\u7b97\u5361\u65b9\u5206\u5e03\u7684\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\u503c<\/span>
          \npdf_value <-<\/span> dchisq(<\/span>3.84<\/span>,<\/span> df =<\/span> 1<\/span>)<\/span><\/p>\n

          # \u8ba1\u7b97\u5361\u65b9\u5206\u5e03\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\u503c<\/span>
          \ncdf_value <-<\/span> pchisq(<\/span>3.84<\/span>,<\/span> df =<\/span> 1<\/span>)<\/span><\/p>\n

          # \u8ba1\u7b97\u5361\u65b9\u5206\u5e03\u7684\u5206\u4f4d\u6570\u503c quantile_value <- qchisq(0.95, df = 1)<\/span><\/code><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

          \n
          \n
          \n
          \n
          \n
          \n

          \u751f\u6210\u5361\u65b9\u5206\u5e03\u7684\u968f\u673a\u6570<\/h2>\n

          random_numbers <- rchisq(100, df = 1)<\/p>\n

          \n
          <\/div>\n

          \n3<\/span>. t\u5206\u5e03\uff08Student's t-Distribution\uff09\uff1a
          \nt\u5206\u5e03\u662f\u4e00\u79cd\u8fde\u7eed\u6982\u7387\u5206\u5e03\uff0c\u7528\u4e8e\u4f30\u8ba1\u5747\u503c\u5df2\u77e5\u3001\u6837\u672c\u91cf\u8f83\u5c0f\u7684\u6b63\u6001\u5206\u5e03\u603b\u4f53\u3002t\u5206\u5e03\u7531\u81ea\u7531\u5ea6\uff08\u03bd\uff09\u53c2\u6570\u51b3\u5b9a\u3002<\/p>\n

          R\u8bed\u8a00\u63d0\u4f9b\u4ee5\u4e0b\u4e0et\u5206\u5e03\u76f8\u5173\u7684\u51fd\u6570\uff1a
          \n - `dt<\/span>(x, df)`\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u503cx\u7684\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\u503c\u3002
          \n - `pt<\/span>(q, df)`\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u503cq<\/span>\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\u503c\u3002
          \n - `qt<\/span>(p, df)`\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u6982\u7387p<\/span>\u7684\u5206\u4f4d\u6570\u503c\u3002
          \n - `rt<\/span>(n, df)`\uff1a\u4ecet\u5206\u5e03\u4e2d\u751f\u6210n\u4e2a\u968f\u673a\u6570\u3002<\/p>\n

          \u5e94\u7528\u5b9e\u4f8b\uff1a
          \n```R
          \n# \u8ba1\u7b97t\u5206\u5e03\u7684\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\u503c
          \npdf_value <- dt<\/span>(1.96<\/span>, df = 10<\/span>)<\/p>\n

          # \u8ba1\u7b97t\u5206\u5e03\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\u503c
          \ncdf_value <- pt<\/span>(1.96<\/span>, df = 10<\/span>)<\/p>\n

          # \u8ba1\u7b97t\u5206\u5e03\u7684\u5206\u4f4d\u6570\u503c
          \nquantile_value <- qt<\/span>(0.975<\/span>, df = 10<\/span>)<\/p>\n

          # \u751f\u6210t\u5206\u5e03\u7684\u968f\u673a\u6570
          \nrandom_numbers <- rt<\/span>(100<\/span>, df = 10<\/span>)
          \n<\/code><\/div>\n<\/div>\n

            \n
          1. \n

            F\u5206\u5e03\uff08F-Distribution\uff09\uff1a<\/h2>\n<\/li>\n<\/ol>\n

            F\u5206\u5e03\u662f\u4e00\u79cd\u8fde\u7eed\u6982\u7387\u5206\u5e03\uff0c\u7528\u4e8e\u6bd4\u8f83\u4e24\u4e2a\u72ec\u7acb\u5361\u65b9\u5206\u5e03\u7684\u65b9\u5dee\u3002F\u5206\u5e03\u7531\u4e24\u4e2a\u81ea\u7531\u5ea6\u53c2\u6570\uff08\u5206\u5b50\u81ea\u7531\u5ea6\u03bd1\u548c\u5206\u6bcd\u81ea\u7531\u5ea6\u03bd2\uff09\u51b3\u5b9a\u3002<\/p>\n

            R\u8bed\u8a00\u63d0\u4f9b\u4ee5\u4e0b\u4e0eF\u5206\u5e03\u76f8\u5173\u7684\u51fd\u6570\uff1a<\/p>\n

              \n
            • df(x, df1, df2)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u503cx\u7684\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\u503c\u3002<\/li>\n
            • pf(q, df1, df2)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u503cq\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\u503c\u3002<\/li>\n
            • qf(p, df1, df2)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u6982\u7387p\u7684\u5206\u4f4d\u6570\u503c\u3002<\/li>\n
            • rf(n, df1, df2)<\/code>\uff1a\u4eceF\u5206\u5e03\u4e2d\u751f\u6210n\u4e2a\u968f\u673a\u6570\u3002<\/li>\n<\/ul>\n

              \u5e94\u7528\u5b9e\u4f8b\uff1a<\/p>\n

              \n
              <\/div>\n
              # \u8ba1\u7b97F\u5206\u5e03\u7684\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\u503c<\/span>
              \npdf_value <-<\/span> df(<\/span>1.96<\/span>,<\/span> df1 =<\/span> 10<\/span>,<\/span> df2 =<\/span> 20<\/span>)<\/span><\/p>\n

              # \u8ba1\u7b97F\u5206\u5e03\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\u503c<\/span>
              \ncdf_value <-<\/span> pf(<\/span>1.96<\/span>,<\/span> df1 =<\/span> 10<\/span>,<\/span> df2 =<\/span> 20<\/span>)<\/span><\/p>\n

              # \u8ba1\u7b97F\u5206\u5e03\u7684\u5206\u4f4d\u6570\u503c<\/span>
              \nquantile_value <-<\/span> qf(<\/span>0.95<\/span>,<\/span> df1 =<\/span> 10<\/span>,<\/span> df2 =<\/span> 20<\/span>)<\/span><\/p>\n

              # \u751f\u6210F\u5206\u5e03\u7684\u968f\u673a\u6570<\/span>
              \nrandom_numbers <-<\/span> rf(<\/span>100<\/span>,<\/span> df1 =<\/span> 10<\/span>,<\/span> df2 =<\/span> 20<\/span>)<\/span>
              \n<\/code><\/div>\n<\/div>\n

              \u901a\u8fc7\u4ee5\u4e0a\u4ecb\u7ecd\u548c\u5b9e\u4f8b\uff0c\u5e0c\u671b\u80fd\u5e2e\u52a9\u4f60\u4e86\u89e3R\u8bed\u8a00\u4e2d\u6807\u51c6\u5206\u5e03\u7684\u5e94\u7528\u3002\u5728\u5b9e\u9645\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\uff0c\u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u9009\u62e9\u5408\u9002\u7684\u5206\u5e03\u7c7b\u578b\u548c\u51fd\u6570\u8fdb\u884c\u5206\u6790\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5176\u4ed6\u5e38\u89c1\u5206\u5e03\u53ca\u5176\u5728R\u4e2d\u7684\u5b9e\u73b0\uff1a<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

              \n
              \n
              \n
              \n
              \n
              \n
                \n
              1. \n

                \u4e8c\u9879\u5206\u5e03\uff08Binomial Distribution\uff09\uff1a<\/h2>\n<\/li>\n<\/ol>\n

                \u4e8c\u9879\u5206\u5e03\u662f\u4e00\u79cd\u79bb\u6563\u6982\u7387\u5206\u5e03\uff0c\u63cf\u8ff0\u4e86\u5728n\u6b21\u72ec\u7acb\u4f2f\u52aa\u5229\u8bd5\u9a8c\u4e2d\u6210\u529f\u6b21\u6570\u7684\u6982\u7387\u3002\u4e8c\u9879\u5206\u5e03\u6709\u4e24\u4e2a\u53c2\u6570\uff1a\u8bd5\u9a8c\u6b21\u6570n\u548c\u6210\u529f\u6982\u7387p\u3002<\/p>\n

                R\u8bed\u8a00\u63d0\u4f9b\u4ee5\u4e0b\u4e0e\u4e8c\u9879\u5206\u5e03\u76f8\u5173\u7684\u51fd\u6570\uff1a<\/p>\n

                  \n
                • dbinom(x, size, prob)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u503cx\u7684\u6982\u7387\u8d28\u91cf\u51fd\u6570\u503c\uff08PMF\uff09\u3002<\/li>\n
                • pbinom(q, size, prob)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u503cq\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\u503c\uff08CDF\uff09\u3002<\/li>\n
                • qbinom(p, size, prob)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u6982\u7387p\u7684\u5206\u4f4d\u6570\u503c\uff08inverse CDF\uff09\u3002<\/li>\n
                • rbinom(n, size, prob)<\/code>\uff1a\u4ece\u4e8c\u9879\u5206\u5e03\u4e2d\u751f\u6210n\u4e2a\u968f\u673a\u6570\u3002<\/li>\n<\/ul>\n

                  \u5e94\u7528\u5b9e\u4f8b\uff1a<\/p>\n

                  \n
                  <\/div>\n
                  # \u8ba1\u7b97\u4e8c\u9879\u5206\u5e03\u7684\u6982\u7387\u8d28\u91cf\u51fd\u6570\u503c<\/span>
                  \npmf_value <-<\/span> dbinom(<\/span>3<\/span>,<\/span> size =<\/span> 10<\/span>,<\/span> prob =<\/span> 0.5<\/span>)<\/span><\/p>\n

                  # \u8ba1\u7b97\u4e8c\u9879\u5206\u5e03\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\u503c<\/span>
                  \ncdf_value <-<\/span> pbinom(<\/span>3<\/span>,<\/span> size =<\/span> 10<\/span>,<\/span> prob =<\/span> 0.5<\/span>)<\/span><\/p>\n

                  # \u8ba1\u7b97\u4e8c\u9879\u5206\u5e03\u7684\u5206\u4f4d\u6570\u503c<\/span>
                  \nquantile_value <-<\/span> qbinom(<\/span>0.95<\/span>,<\/span> size =<\/span> 10<\/span>,<\/span> prob =<\/span> 0.5<\/span>)<\/span><\/p>\n

                  # \u751f\u6210\u4e8c\u9879\u5206\u5e03\u7684\u968f\u673a\u6570<\/span>
                  \nrandom_numbers <-<\/span> rbinom(<\/span>100<\/span>,<\/span> size =<\/span> 10<\/span>,<\/span> prob =<\/span> 0.5<\/span>)<\/span>
                  \n<\/code><\/div>\n<\/div>\n

                    \n
                  1. \n

                    \u6cca\u677e\u5206\u5e03\uff08Poisson Distribution\uff09\uff1a<\/h2>\n<\/li>\n<\/ol>\n

                    \u6cca\u677e\u5206\u5e03\u662f\u4e00\u79cd\u79bb\u6563\u6982\u7387\u5206\u5e03\uff0c\u63cf\u8ff0\u4e86\u5728\u56fa\u5b9a\u65f6\u95f4\u6bb5\u6216\u7a7a\u95f4\u5185\uff0c\u72ec\u7acb\u968f\u673a\u4e8b\u4ef6\u53d1\u751f\u7684\u6b21\u6570\u3002\u6cca\u677e\u5206\u5e03\u6709\u4e00\u4e2a\u53c2\u6570\uff1a\u4e8b\u4ef6\u53d1\u751f\u7684\u5e73\u5747\u901f\u7387\u03bb\u3002<\/p>\n

                    R\u8bed\u8a00\u63d0\u4f9b\u4ee5\u4e0b\u4e0e\u6cca\u677e\u5206\u5e03\u76f8\u5173\u7684\u51fd\u6570\uff1a<\/p>\n

                      \n
                    • dpois(x, lambda)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u503cx\u7684\u6982\u7387\u8d28\u91cf\u51fd\u6570\u503c\u3002<\/li>\n
                    • ppois(q, lambda)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u503cq\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\u503c\u3002<\/li>\n
                    • qpois(p, lambda)<\/code>\uff1a\u8ba1\u7b97\u7ed9\u5b9a\u6982\u7387p\u7684\u5206\u4f4d\u6570\u503c\u3002<\/li>\n
                    • rpois(n, lambda)<\/code>\uff1a\u4ece\u6cca\u677e\u5206\u5e03\u4e2d\u751f\u6210n\u4e2a\u968f\u673a\u6570\u3002<\/li>\n<\/ul>\n

                      \u5e94\u7528\u5b9e\u4f8b\uff1a<\/p>\n

                      \n
                      <\/div>\n
                      # \u8ba1\u7b97\u6cca\u677e\u5206\u5e03\u7684\u6982\u7387\u8d28\u91cf\u51fd\u6570\u503c<\/span>
                      \npmf_value <-<\/span> dpois(<\/span>3<\/span>,<\/span> lambda =<\/span> 2<\/span>)<\/span><\/p>\n

                      # \u8ba1\u7b97\u6cca\u677e\u5206\u5e03\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\u503c<\/span>
                      \ncdf_value <-<\/span> ppois(<\/span>3<\/span>,<\/span> lambda =<\/span> 2<\/span>)<\/span><\/p>\n

                      # \u8ba1\u7b97\u6cca\u677e\u5206\u5e03\u7684\u5206\u4f4d\u6570\u503c<\/span>
                      \nquantile_value <-<\/span> qpois(<\/span>0.95<\/span>,<\/span> lambda =<\/span> 2<\/span>)<\/span><\/p>\n

                      # \u751f\u6210\u6cca\u677e\u5206\u5e03\u7684\u968f\u673a\u6570<\/span>
                      \nrandom_numbers <-<\/span> rpois(<\/span>100<\/span>,<\/span> lambda =<\/span> 2<\/span>)<\/span>
                      \n<\/code><\/div>\n<\/div>\n

                      \u901a\u8fc7\u5b66\u4e60\u548c\u5e94\u7528\u8fd9\u4e9b\u6982\u7387\u5206\u5e03\u53ca\u5176\u76f8\u5173\u51fd\u6570\uff0c\u4f60\u5c06\u80fd\u591f\u5728R\u8bed\u8a00\u4e2d\u5904\u7406\u5404\u79cd\u7edf\u8ba1\u95ee\u9898\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528\u8fd9\u4e9b\u5206\u5e03\u8fdb\u884c\u5047\u8bbe\u68c0\u9a8c\u3001\u7f6e\u4fe1\u533a\u95f4\u4f30\u8ba1\u3001\u6a21\u578b\u62df\u5408\u7b49\u4efb\u52a1\u3002\u4e86\u89e3\u5404\u79cd\u6982\u7387\u5206\u5e03\u53ca\u5176\u6027\u8d28\u5bf9\u4e8e\u5728\u751f\u7269\u4fe1\u606f\u5b66\u3001\u6570\u636e\u5206\u6790\u548c\u7edf\u8ba1\u5b66\u7b49\u9886\u57df\u7684\u7814\u7a76\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

                      R\u8bed\u8a00\u63d0\u4f9b\u4e86\u8bb8\u591a\u7528\u4e8e\u5904\u7406\u6982\u7387\u5206\u5e03\u7684\u51fd\u6570\uff0c\u5176\u4e2d\u6807\u51c6\u5206\u5e03\uff08\u5982\u6b63\u6001\u5206\u5e03\u3001\u5361\u65b9\u5206\u5e03\u3001t\u5206\u5e03\u548cF\u5206\u5e03\u7b49\uff09\u5c24\u4e3a\u5e38\u7528\u3002\u4ee5\u4e0b\u662f […]<\/p>\n","protected":false},"author":111,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-428","post","type-post","status-publish","format-standard","hentry","category-r"],"_links":{"self":[{"href":"https:\/\/yunshangtulv.com.cn\/index.php?rest_route=\/wp\/v2\/posts\/428","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/yunshangtulv.com.cn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/yunshangtulv.com.cn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/yunshangtulv.com.cn\/index.php?rest_route=\/wp\/v2\/users\/111"}],"replies":[{"embeddable":true,"href":"https:\/\/yunshangtulv.com.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=428"}],"version-history":[{"count":0,"href":"https:\/\/yunshangtulv.com.cn\/index.php?rest_route=\/wp\/v2\/posts\/428\/revisions"}],"wp:attachment":[{"href":"https:\/\/yunshangtulv.com.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=428"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/yunshangtulv.com.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=428"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/yunshangtulv.com.cn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=428"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}