Which row in a SpatialPolygonsDataFrame by multipul logicals
I have a single SpatialPolygonsDataFrame in which I have 3 islands. On these islands, there are named locations however the names are not unique between islands. I have found a way to identify which names are replicated between the various island but I can not get back to which row they correspond to. Ideally I would find a way to access those rows so I can modify the location name to create name that's unique between islands.
Using the Meuse data set from sp I came up with this
library(sp)
data("meuse")
coordinates(meuse) <- ~ x + y
str(meuse)
a <- meuse[meuse$lime == "0" && meuse$landuse == "Ah",]
dim(a)
subset(meuse, lime == "1")
The return of a is 0 but when you look at the last subset line there are clearly rows that fit that condition. Any suggestions on what I'm missing here or what I should be doing instead?
r sp
asked Jan 3 at 2:22
ReedReed
647
add a comment |
I have a single SpatialPolygonsDataFrame in which I have 3 islands. On these islands, there are named locations however the names are not unique between islands. I have found a way to identify which names are replicated between the various island but I can not get back to which row they correspond to. Ideally I would find a way to access those rows so I can modify the location name to create name that's unique between islands.
Using the Meuse data set from sp I came up with this
library(sp)
data("meuse")
coordinates(meuse) <- ~ x + y
str(meuse)
a <- meuse[meuse$lime == "0" && meuse$landuse == "Ah",]
dim(a)
subset(meuse, lime == "1")
The return of a is 0 but when you look at the last subset line there are clearly rows that fit that condition. Any suggestions on what I'm missing here or what I should be doing instead?
r sp
asked Jan 3 at 2:22
ReedReed
647
all the data on meuse has sold == "1"
– Carlos Santillan
Jan 3 at 2:40
Unclear what you are asking.ahas zero rows because nosoil == 0in the dataset. In contrast,subset(meuse, soil == "1")has more than zero rows because there aresoil == 1in the dataset. Everything works as expected.
– www
Jan 3 at 4:03
thanks @CarlosSantillan and www there was a problem with my example. When I change soil to lime however, you can see that I am still unable to subset in the ways I'm expecting.
– Reed
Jan 3 at 21:24
add a comment |
I have a single SpatialPolygonsDataFrame in which I have 3 islands. On these islands, there are named locations however the names are not unique between islands. I have found a way to identify which names are replicated between the various island but I can not get back to which row they correspond to. Ideally I would find a way to access those rows so I can modify the location name to create name that's unique between islands.
Using the Meuse data set from sp I came up with this
library(sp)
data("meuse")
coordinates(meuse) <- ~ x + y
str(meuse)
a <- meuse[meuse$lime == "0" && meuse$landuse == "Ah",]
dim(a)
subset(meuse, lime == "1")
The return of a is 0 but when you look at the last subset line there are clearly rows that fit that condition. Any suggestions on what I'm missing here or what I should be doing instead?
r sp
asked Jan 3 at 2:22
ReedReed
647
I have a single SpatialPolygonsDataFrame in which I have 3 islands. On these islands, there are named locations however the names are not unique between islands. I have found a way to identify which names are replicated between the various island but I can not get back to which row they correspond to. Ideally I would find a way to access those rows so I can modify the location name to create name that's unique between islands.
Using the Meuse data set from sp I came up with this
library(sp)
data("meuse")
coordinates(meuse) <- ~ x + y
str(meuse)
a <- meuse[meuse$lime == "0" && meuse$landuse == "Ah",]
dim(a)
subset(meuse, lime == "1")
The return of a is 0 but when you look at the last subset line there are clearly rows that fit that condition. Any suggestions on what I'm missing here or what I should be doing instead?
r sp
r sp
asked Jan 3 at 2:22
ReedReed
647
asked Jan 3 at 2:22
ReedReed
647
edited Jan 3 at 21:22
Reed
asked Jan 3 at 2:22
ReedReed
647
asked Jan 3 at 2:22
ReedReed
647
asked Jan 3 at 2:22
ReedReed
647
647
all the data on meuse has sold == "1"
– Carlos Santillan
Jan 3 at 2:40
Unclear what you are asking.ahas zero rows because nosoil == 0in the dataset. In contrast,subset(meuse, soil == "1")has more than zero rows because there aresoil == 1in the dataset. Everything works as expected.
– www
Jan 3 at 4:03
thanks @CarlosSantillan and www there was a problem with my example. When I change soil to lime however, you can see that I am still unable to subset in the ways I'm expecting.
– Reed
Jan 3 at 21:24
add a comment |
all the data on meuse has sold == "1"
– Carlos Santillan
Jan 3 at 2:40
Unclear what you are asking.ahas zero rows because nosoil == 0in the dataset. In contrast,subset(meuse, soil == "1")has more than zero rows because there aresoil == 1in the dataset. Everything works as expected.
– www
Jan 3 at 4:03
thanks @CarlosSantillan and www there was a problem with my example. When I change soil to lime however, you can see that I am still unable to subset in the ways I'm expecting.
– Reed
Jan 3 at 21:24
all the data on meuse has sold == "1"
– Carlos Santillan
Jan 3 at 2:40
all the data on meuse has sold == "1"
– Carlos Santillan
Jan 3 at 2:40
Unclear what you are asking.
a has zero rows because no soil == 0 in the dataset. In contrast, subset(meuse, soil == "1") has more than zero rows because there are soil == 1 in the dataset. Everything works as expected.– www
Jan 3 at 4:03
Unclear what you are asking.
a has zero rows because no soil == 0 in the dataset. In contrast, subset(meuse, soil == "1") has more than zero rows because there are soil == 1 in the dataset. Everything works as expected.– www
Jan 3 at 4:03
thanks @CarlosSantillan and www there was a problem with my example. When I change soil to lime however, you can see that I am still unable to subset in the ways I'm expecting.
– Reed
Jan 3 at 21:24
thanks @CarlosSantillan and www there was a problem with my example. When I change soil to lime however, you can see that I am still unable to subset in the ways I'm expecting.
– Reed
Jan 3 at 21:24
add a comment |
1 Answer
1
active
oldest
votes
The problem is && in
a <- meuse[meuse$lime == "0" && meuse$landuse == "Ah",]
As the documentation says,
& and && indicate logical AND and | and || indicate logical OR. The
shorter form performs elementwise comparisons in much the same way as
arithmetic operators. The longer form evaluates left to right
examining only the first element of each vector.
For instance,
c(TRUE, TRUE) && c(FALSE, TRUE)
# [1] FALSE
c(TRUE, TRUE) & c(FALSE, TRUE)
# [1] FALSE TRUE
So, instead you want
a <- meuse[meuse$lime == "0" & meuse$landuse == "Ah",]
dim(a)
# [1] 31 12
answered Jan 3 at 21:37
Julius VainoraJulius Vainora
38.2k76685
@Reed, does it help?
– Julius Vainora
Jan 4 at 19:53
add a comment |
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
The problem is && in
a <- meuse[meuse$lime == "0" && meuse$landuse == "Ah",]
As the documentation says,
& and && indicate logical AND and | and || indicate logical OR. The
shorter form performs elementwise comparisons in much the same way as
arithmetic operators. The longer form evaluates left to right
examining only the first element of each vector.
For instance,
c(TRUE, TRUE) && c(FALSE, TRUE)
# [1] FALSE
c(TRUE, TRUE) & c(FALSE, TRUE)
# [1] FALSE TRUE
So, instead you want
a <- meuse[meuse$lime == "0" & meuse$landuse == "Ah",]
dim(a)
# [1] 31 12
answered Jan 3 at 21:37
Julius VainoraJulius Vainora
38.2k76685
@Reed, does it help?
– Julius Vainora
Jan 4 at 19:53
add a comment |
The problem is && in
a <- meuse[meuse$lime == "0" && meuse$landuse == "Ah",]
As the documentation says,
& and && indicate logical AND and | and || indicate logical OR. The
shorter form performs elementwise comparisons in much the same way as
arithmetic operators. The longer form evaluates left to right
examining only the first element of each vector.
For instance,
c(TRUE, TRUE) && c(FALSE, TRUE)
# [1] FALSE
c(TRUE, TRUE) & c(FALSE, TRUE)
# [1] FALSE TRUE
So, instead you want
a <- meuse[meuse$lime == "0" & meuse$landuse == "Ah",]
dim(a)
# [1] 31 12
answered Jan 3 at 21:37
Julius VainoraJulius Vainora
38.2k76685
@Reed, does it help?
– Julius Vainora
Jan 4 at 19:53
add a comment |
The problem is && in
a <- meuse[meuse$lime == "0" && meuse$landuse == "Ah",]
As the documentation says,
& and && indicate logical AND and | and || indicate logical OR. The
shorter form performs elementwise comparisons in much the same way as
arithmetic operators. The longer form evaluates left to right
examining only the first element of each vector.
For instance,
c(TRUE, TRUE) && c(FALSE, TRUE)
# [1] FALSE
c(TRUE, TRUE) & c(FALSE, TRUE)
# [1] FALSE TRUE
So, instead you want
a <- meuse[meuse$lime == "0" & meuse$landuse == "Ah",]
dim(a)
# [1] 31 12
answered Jan 3 at 21:37
Julius VainoraJulius Vainora
38.2k76685
The problem is && in
a <- meuse[meuse$lime == "0" && meuse$landuse == "Ah",]
As the documentation says,
& and && indicate logical AND and | and || indicate logical OR. The
shorter form performs elementwise comparisons in much the same way as
arithmetic operators. The longer form evaluates left to right
examining only the first element of each vector.
For instance,
c(TRUE, TRUE) && c(FALSE, TRUE)
# [1] FALSE
c(TRUE, TRUE) & c(FALSE, TRUE)
# [1] FALSE TRUE
So, instead you want
a <- meuse[meuse$lime == "0" & meuse$landuse == "Ah",]
dim(a)
# [1] 31 12
answered Jan 3 at 21:37
Julius VainoraJulius Vainora
38.2k76685
answered Jan 3 at 21:37
Julius VainoraJulius Vainora
38.2k76685
answered Jan 3 at 21:37
Julius VainoraJulius Vainora
38.2k76685
answered Jan 3 at 21:37
Julius VainoraJulius Vainora
38.2k76685
38.2k76685
@Reed, does it help?
– Julius Vainora
Jan 4 at 19:53
add a comment |
@Reed, does it help?
– Julius Vainora
Jan 4 at 19:53
@Reed, does it help?
– Julius Vainora
Jan 4 at 19:53
@Reed, does it help?
– Julius Vainora
Jan 4 at 19:53
add a comment |
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all the data on meuse has sold == "1"
– Carlos Santillan
Jan 3 at 2:40
Unclear what you are asking.
ahas zero rows because nosoil == 0in the dataset. In contrast,subset(meuse, soil == "1")has more than zero rows because there aresoil == 1in the dataset. Everything works as expected.– www
Jan 3 at 4:03
thanks @CarlosSantillan and www there was a problem with my example. When I change soil to lime however, you can see that I am still unable to subset in the ways I'm expecting.
– Reed
Jan 3 at 21:24