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具有缺失值的因子的变量平均值

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我使用大数据集来计算因子的变量 . 示例简单数据集如下所示 .

+------+-----+------+--------+------+-------+------+------+
| year | mon | site | region |  rf  | avg 1 | avg2 | avg3 |
+------+-----+------+--------+------+-------+------+------+
| 2000 | jan | A    | high   | 28.2 |       |      |      |
| 2000 | feb | A    | high   | 26.6 |       |      |      |
| 2000 | mar | A    | high   | 30.3 |       |      |      |
| 2000 | apr | A    | high   | 33.2 |       |      |      |
| 2000 | may | A    | high   |      |       |      |      |
| 2000 | jun | A    | high   | 28.3 |       |      |      |
| 2000 | jul | A    | high   | 28.6 |       |      |      |
| 2000 | aug | A    | high   | 28.9 |       |      |      |
| 2000 | sep | A    | high   | 28.1 |       |      |      |
| 2000 | oct | A    | high   | 28.8 |       |      |      |
| 2000 | nov | A    | high   | 31.6 |       |      |      |
| 2000 | dec | A    | high   | 26.9 |       |      |      |
| 2001 | jan | A    | high   | 28.6 |       |      |      |
| 2001 | feb | A    | high   | 29.6 |       |      |      |
| 2002 | jan | B    | mid    | 21.4 |       |      |      |
| 2002 | feb | B    | mid    | 24.5 |       |      |      |
| 2002 | mar | B    | mid    | 24.2 |       |      |      |
+------+-----+------+--------+------+-------+------+------+

但主变量（rf）有一些缺失值 . 但我想计算去除缺失值的平均值（平均值1，平均值avg2 avg3） . 可以使用以下dput代码访问我的数据集 .

structure(list(year = c(2000L, 2000L, 2000L, 2000L, 2000L, 2000L, 
2000L, 2000L, 2000L, 2000L, 2000L, 2000L, 2001L, 2001L, 2002L, 
2002L, 2002L), mon = structure(c(5L, 4L, 8L, 1L, 9L, 7L, 6L, 
2L, 12L, 11L, 10L, 3L, 5L, 4L, 5L, 4L, 8L), .Label = c("apr", 
"aug", "dec", "feb", "jan", "jul", "jun", "mar", "may", "nov", 
"oct", "sep"), class = "factor"), site = structure(c(1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L), .Label = c("A", 
"B"), class = "factor"), region = structure(c(1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L), .Label = c("high", 
"mid"), class = "factor"), rf = c(28.2, 26.6, 30.3, 33.2, NA, 
28.3, 28.6, 28.9, 28.1, 28.8, 31.6, 26.9, 28.6, 29.6, 21.4, 24.5, 
24.2), avg_rf_site_allyears = c(NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA), avg_mon_rf_all_site = c(NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA
), avg_rf_year_ele = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA)), .Names = c("year", "mon", "site", 
"region", "rf", "avg_rf_site_allyears", "avg_mon_rf_all_site", 
"avg_rf_year_ele"), class = "data.frame", row.names = c(NA, -17L
))

avg 1是各年所在的平均降雨量（每月有15年） .

avg 2是所有年份所有地点的月平均降雨量

avg 3是各地区的平均降雨量

我使用以下代码，但这些代码不适用于缺少值的网站 .

平均1

df$avg.1<- with(df,ave(rf, site)) # mean rf by sites across all years. This does not calculate values for sites if it has got even one missing value.

AVG2

df$avg2<- with(df,ave(rf, mon))#this works in this example but not with my    big dataset. When I run with my dataset, it gives all NAs.

如果有人能告诉我这个问题的潜在原因那将是很好的 .

平均3 - 我需要按地区按年计算均值 . 但是找不到办法 .

任何有关上述的帮助将非常感激 .

r average missing-data factors

1 回答

  • 0

    我们可以在 ave 中指定 FUN 参数 . 默认情况下，即没有指定，它给 mean 带 na.rm=FALSE . 因此，使用 FUN ，可以使用任何其他函数，如 min ， max 等 .

    df$avg.1 <- with(df, ave(rf, site, 
        FUN= function(x) mean(x, na.rm=TRUE)))

    和'avg.2'类似 .

    对于第三种情况

    df$avg.3 <- with(df, ave(rf, region, year, 
        FUN= function(x) mean(x, na.rm=TRUE))

    如果我们使用 dplyr

    library(dplyr)
df %>%
  group_by(site) %>% 
  mutate(avg.1 = mean(rf, na.rm=TRUE)) %>% 
  group_by(mon) %>% 
  mutate(avg.2 = mean(rf, na.rm=TRUE)) %>% 
  group_by(region, year) %>%
  mutate(avg.3= mean(rf, na.rm=TRUE))
    回复于

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