我试图从一个表(myChickWts)中收集体重值,该表是在另一个表(小鸡血)记录的每一个血样前一周收集的。我想要一份从每一次血样前一周的血液日期和相关重量的清单。我尝试了几种不同的方法,在我的结果中包含了血样日期之后,我一直在获取日期。
在本例中,匹配返回(1/9、1/11、1/13)之前和(1/15)之后的日期。这两张桌子怎么配?我也尝试了difference_join,但它返回了结果7天前和7天后,我的另一个结果-再次,不是我想要的。
Chick Date.x (blood) Date.y (weight) Chick.y Weight.y
10 2019-01-14 2019-01-09 10 74
10 2019-01-14 2019-01-11 10 81
10 2019-01-14 2019-01-13 10 89
10 2019-01-14 2019-01-15 10 96
library(tidyverse)
library(lubridate)
library(fuzzyjoin)导入数据(用于reprex的样本数据)
mychickwts <- datasets::ChickWeight %>%
mutate(Date = date("2019-01-01") + Time) %>%
select(Date, Chick, weight) %>%
filter(Chick <= 10)
chickblood <- data.frame(
Chick = c(1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6, 7, 7, 7,
8, 8, 8, 9, 9, 9, 10, 10, 10),
Date = date(c("2019-01-01", "2019-01-12", "2019-01-22", "2019-01-06",
"2019-01-15", "2019-01-22", "2019-01-05", "2019-01-07",
"2019-01-14", "2019-01-03", "2019-01-08", "2019-01-11", "2019-01-02",
"2019-01-20", "2019-01-23", "2019-01-12", "2019-01-16",
"2019-01-18", "2019-01-10", "2019-01-10", "2019-01-22", "2019-01-03",
"2019-01-04", "2019-01-08", "2019-01-06", "2019-01-14",
"2019-01-17", "2019-01-02", "2019-01-14", "2019-01-21")))确定体重日期是否在血检日期的前一周。
compare <- function(a, b) {
(a - b) <= 7
}在过去的7天里,得到一张每一次血量和所有匹配体重的表格。这不管用。
chickblood %>%
fuzzy_left_join(
mychickwts,
by = c(
"Chick" = "Chick",
"Date" = "Date"
),
match_fun = list(`==`, `compare`)
)我也尝试了difference_join,但在这种情况下,我似乎不知道如何让它与小鸡匹配,它在约会前后都会返回。
chickblood %>%
difference_join(mychickwts, by = "Date",
max_dist = 7
)我试过在%内使用%,而不是运气。这会返回一个错误,我不知道确切的原因。
chickblood %>%
fuzzy_left_join(
mychickwts,
by = c("Chick" = "Chick",
"Date" = "Date"),
match_fun = list("==", "%within%")
) %>%
arrange(Date.x)
Error in which(m) : argument to 'which' is not logical发布于 2019-11-28 03:33:56
由于数据集不太大,您只需在“Chick”上做一个正常的左连接,然后确定体重日期是否在血液工作日期的前一周。从那里你可以保留你想要的行。
library(tidyverse)
library(lubridate)
library(fuzzyjoin)
mychickwts$Chick <- as.numeric(mychickwts$Chick)
chickblood %>%
left_join(mychickwts, by = "Chick", suffix = c(".blood", ".wt")) %>%
mutate(wt_days_prior = Date.blood - Date.wt) %>%
mutate(wt_in_week_prior = wt_days_prior <= 7 & wt_days_prior >= 0) %>%
filter(wt_in_week_prior)或者,如果您想在单个联接中执行此操作,则类似的操作可能会有效。
chickblood %>%
fuzzy_left_join(mychickwts, by = c("Chick", "Date"),
match_fun = list(`==`, function(x, y) x - y >= 0 & x - y <= 7)
)将fuzzy_left_join替换为fuzzy_inner_join,只保留前一周有体重日期的血样测量值。
https://stackoverflow.com/questions/59058698
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