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问题描述

这里是一个示例,其中 foverlaps(...)似乎在查找不重叠的匹配项。有人可以帮助我了解我在做什么吗?

Here is an example where foverlaps(...) seems to be finding matches that do not overlap. Can anyone help me understand what I'm doing wrong?

似乎是使用 foverlaps(...)

The problem in this post seems like an excellent opportunity to use foverlaps(...) in the data.table package. The datasets below are from that post.

dinosaurs <- structure(list(GENUS = structure(1:3, .Label = c("Abydosaurus", "Achelousaurus", "Acheroraptor"), class = "factor"), ma_max = c(109, 84.9, 70.6), ma_min = c(94.3, 70.6, 66.043), ma_mid = c(101.65, 77.75, 68.3215)), .Names = c("GENUS", "ma_max", "ma_min", "ma_mid"), class = "data.frame", row.names = c(NA, -3L))
stages    <- structure(list(Stage = structure(c(13L, 19L, 17L, 21L, 1L, 4L, 6L, 8L, 16L, 14L, 20L, 7L, 23L, 12L, 5L, 3L, 2L, 10L, 22L, 11L, 18L, 9L, 15L), .Label = c("Aalenian", "Albian", "Aptian", "Bajocian", "Barremian", "Bathonian", "Berriasian", "Callovian", "Campanian", "Cenomanian", "Coniacian", "Hauterivian", "Hettangian", "Kimmeridgian", "Maastrichtian", "Oxfordian", "Pliensbachian", "Santonian", "Sinemurian", "Tithonian", "Toarcian", "Turonian", "Valanginian"), class = "factor"),ma_max = c(201.6, 197, 190, 183, 176, 172, 168, 165, 161, 156, 151, 145.5, 140, 136, 130, 125, 112, 99.6, 93.5, 89.3, 85.8, 83.5, 70.6), ma_min = c(197, 190, 183, 176, 172, 168, 165, 161, 156, 151, 145.5, 140, 136, 130, 125, 112, 99.6, 93.5, 89.3, 85.8, 83.5, 70.6, 66.5), ma_mid = c(199.3, 193.5, 186.5, 179.5, 174, 170, 166.5, 163, 158.5, 153.5, 148.25, 142.75, 138, 133, 127.5, 118.5, 105.8, 96.55, 91.4, 87.55, 84.65, 77.05, 68.05)), .Names = c("Stage", "ma_max", "ma_min", "ma_mid"), class = "data.frame", row.names = c(NA, -23L))
dinosaurs
#           GENUS ma_max ma_min   ma_mid
# 1   Abydosaurus  109.0 94.300 101.6500
# 2 Achelousaurus   84.9 70.600  77.7500
# 3  Acheroraptor   70.6 66.043  68.3215
head(stages)
#           Stage ma_max ma_min ma_mid
# 1    Hettangian  201.6    197  199.3
# 2    Sinemurian  197.0    190  193.5
# 3 Pliensbachian  190.0    183  186.5
# 4      Toarcian  183.0    176  179.5
# 5      Aalenian  176.0    172  174.0
# 6      Bajocian  172.0    168  170.0

我的目标s以查找每个地质阶段中存在的恐龙属的数量。

The goal is to find the number of dinosaur genera which were present in each geological stage.

library(data.table)   # 1.9.4
setDT(dinosaurs)[,ma_mid:=NULL]
setDT(stages)[,ma_mid:=NULL]
setkey(dinosaurs,ma_min,ma_max)
foverlaps(stages,dinosaurs,type="any",nomatch=0)
#            GENUS ma_max ma_min         Stage i.ma_max i.ma_min
# 1:   Abydosaurus  109.0 94.300        Albian    112.0     99.6
# 2:   Abydosaurus  109.0 94.300    Cenomanian     99.6     93.5
# 3: Achelousaurus   84.9 70.600     Coniacian     89.3     85.8
# 4: Achelousaurus   84.9 70.600     Santonian     85.8     83.5
# 5:  Acheroraptor   70.6 66.043     Campanian     83.5     70.6
# 6: Achelousaurus   84.9 70.600     Campanian     83.5     70.6
# 7:  Acheroraptor   70.6 66.043 Maastrichtian     70.6     66.5
# 8: Achelousaurus   84.9 70.600 Maastrichtian     70.6     66.5

这基本上是正确的,但是在第3行。这似乎可以断言,从85.8到8930万年前的切诺曼期与与70.6到8490万年前的Achelousaurus重叠。我缺少什么?

This is mostly correct, but look at row 3. This seems to assert that the Cenomanian stage, from 85.8 to 89.3 million years ago, overlaps with Achelousaurus, which lived from 70.6 to 84.9 million years ago. What am I missing?

推荐答案

在1.9.5上,我得到了:

On 1.9.5, I get this:

#            GENUS ma_max ma_min         Stage i.ma_max i.ma_min
# 1:   Abydosaurus  109.0 94.300        Albian    112.0     99.6
# 2:   Abydosaurus  109.0 94.300    Cenomanian     99.6     93.5
# 3: Achelousaurus   84.9 70.600     Santonian     85.8     83.5
# 4:  Acheroraptor   70.6 66.043     Campanian     83.5     70.6
# 5: Achelousaurus   84.9 70.600     Campanian     83.5     70.6
# 6:  Acheroraptor   70.6 66.043 Maastrichtian     70.6     66.5
# 7: Achelousaurus   84.9 70.600 Maastrichtian     70.6     66.5

最有可能修复浮点错误在的1.9.5中。如果您也可以验证这一点,那就太好了。

Most likely floating point bug fixed in 1.9.5 in this commit. Would be great if you could verify this as well.

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10-16 02:03