R 或 PostgreSQL 中的最小可变性检查 [英] Minimum variability check in R or PostgreSQL

问题描述

我的数据集包含温度值.我想进行最小可变性检查.我想检查 3 个连续的温度值是否相对于每个定义的阈值 (.05) 没有变化，然后用最后三个观测值的平均值替换它们.

My Data-set contains temperature values. I want to preform minimum variability check. I would like to check if 3 successive temperature values do not changed with respect to a per-defined threshold (.05), then replacing them with mean value of last three observations.

推荐答案

   WITH A as (
   SELECT ambtemp,
          date_trunc('hour', dt)+
          CASE WHEN date_part('minute', dt) >= 6
          THEN interval '6 minutes'
          ELSE interval '0 minutes'
            END as t
          FROM temm),

              B as(
                  SELECT ambtemp,t,

   max(ambtemp::float(23)) OVER (PARTITION BY t) as max_temp,
   min(ambtemp::float(23)) OVER (PARTITION BY t) as min_temp
        FROM A)

          SELECT *

              FROM B
              WHERE (max_temp - min_temp) <= 0.5

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