How extract values from this list (from rgbif) and convert it in data frame in R?
I have this list l
l
$`5216014`
$`5216014`[[1]]
name key rank
1 Animalia 1 kingdom
2 Chordata 44 phylum
3 Elasmobranchii 121 class
4 Rajiformes 884 order
5 Rajidae 5877 family
6 Raja 2342057 genus
7 Raja montagui 5216014 species
$`5216208`
$`5216208`[[1]]
name key rank
1 Animalia 1 kingdom
2 Chordata 44 phylum
3 Elasmobranchii 121 class
4 Rajiformes 884 order
5 Rajidae 5877 family
6 Amblyraja 2420436 genus
7 Amblyraja radiata 2420446 species
I would like to extract only row
number 7 for column name
and key
and to create a database like this:
df
name key
Raja montagui 5216014
Amblyraja radiata 2420446
I tried with lapply
function:
lapply(l,function(x) x[7])
but the result is this:
$`5216014`
$`5216014`[[1]]
NULL
$`5216208`
$`5216208`[[1]]
NULL
I tried to transform l
in a data frame:
data.frame(matrix(unlist(l)))
but I obtained one big column with all data as:
kingdom
phylum
class
order
family
genus
species
Animalia
Chordata
Elasmobranchii
4943
Rajiformes
Rajidae
Raja
Raja montagui
1
44
121
884
5877
2342057
5216014
4954
kingdom
phylum
class
order
family
genus
species
Animalia
Chordata
Elasmobranchii
Rajiformes
4965
Rajidae
Amblyraja
Amblyraja radiata
1
44
121
884
5877
2420436
2420446
kingdom
phylum
class
order
family
genus
species
Where am I wrong?
P.S: this kind of list
l
is an output of packages rgbif
, with code:
keySpecies <- c(5216014,2420446)
l.1 <- occ_search(taxonKey=keySpecies,
limit=1, return='hier',
curlopts=list(verbose=F))
l <- l.1[c(1:length(unique(keySpecies)))] #cut all element of list that are not useful
r list dataframe lapply
add a comment |
I have this list l
l
$`5216014`
$`5216014`[[1]]
name key rank
1 Animalia 1 kingdom
2 Chordata 44 phylum
3 Elasmobranchii 121 class
4 Rajiformes 884 order
5 Rajidae 5877 family
6 Raja 2342057 genus
7 Raja montagui 5216014 species
$`5216208`
$`5216208`[[1]]
name key rank
1 Animalia 1 kingdom
2 Chordata 44 phylum
3 Elasmobranchii 121 class
4 Rajiformes 884 order
5 Rajidae 5877 family
6 Amblyraja 2420436 genus
7 Amblyraja radiata 2420446 species
I would like to extract only row
number 7 for column name
and key
and to create a database like this:
df
name key
Raja montagui 5216014
Amblyraja radiata 2420446
I tried with lapply
function:
lapply(l,function(x) x[7])
but the result is this:
$`5216014`
$`5216014`[[1]]
NULL
$`5216208`
$`5216208`[[1]]
NULL
I tried to transform l
in a data frame:
data.frame(matrix(unlist(l)))
but I obtained one big column with all data as:
kingdom
phylum
class
order
family
genus
species
Animalia
Chordata
Elasmobranchii
4943
Rajiformes
Rajidae
Raja
Raja montagui
1
44
121
884
5877
2342057
5216014
4954
kingdom
phylum
class
order
family
genus
species
Animalia
Chordata
Elasmobranchii
Rajiformes
4965
Rajidae
Amblyraja
Amblyraja radiata
1
44
121
884
5877
2420436
2420446
kingdom
phylum
class
order
family
genus
species
Where am I wrong?
P.S: this kind of list
l
is an output of packages rgbif
, with code:
keySpecies <- c(5216014,2420446)
l.1 <- occ_search(taxonKey=keySpecies,
limit=1, return='hier',
curlopts=list(verbose=F))
l <- l.1[c(1:length(unique(keySpecies)))] #cut all element of list that are not useful
r list dataframe lapply
add a comment |
I have this list l
l
$`5216014`
$`5216014`[[1]]
name key rank
1 Animalia 1 kingdom
2 Chordata 44 phylum
3 Elasmobranchii 121 class
4 Rajiformes 884 order
5 Rajidae 5877 family
6 Raja 2342057 genus
7 Raja montagui 5216014 species
$`5216208`
$`5216208`[[1]]
name key rank
1 Animalia 1 kingdom
2 Chordata 44 phylum
3 Elasmobranchii 121 class
4 Rajiformes 884 order
5 Rajidae 5877 family
6 Amblyraja 2420436 genus
7 Amblyraja radiata 2420446 species
I would like to extract only row
number 7 for column name
and key
and to create a database like this:
df
name key
Raja montagui 5216014
Amblyraja radiata 2420446
I tried with lapply
function:
lapply(l,function(x) x[7])
but the result is this:
$`5216014`
$`5216014`[[1]]
NULL
$`5216208`
$`5216208`[[1]]
NULL
I tried to transform l
in a data frame:
data.frame(matrix(unlist(l)))
but I obtained one big column with all data as:
kingdom
phylum
class
order
family
genus
species
Animalia
Chordata
Elasmobranchii
4943
Rajiformes
Rajidae
Raja
Raja montagui
1
44
121
884
5877
2342057
5216014
4954
kingdom
phylum
class
order
family
genus
species
Animalia
Chordata
Elasmobranchii
Rajiformes
4965
Rajidae
Amblyraja
Amblyraja radiata
1
44
121
884
5877
2420436
2420446
kingdom
phylum
class
order
family
genus
species
Where am I wrong?
P.S: this kind of list
l
is an output of packages rgbif
, with code:
keySpecies <- c(5216014,2420446)
l.1 <- occ_search(taxonKey=keySpecies,
limit=1, return='hier',
curlopts=list(verbose=F))
l <- l.1[c(1:length(unique(keySpecies)))] #cut all element of list that are not useful
r list dataframe lapply
I have this list l
l
$`5216014`
$`5216014`[[1]]
name key rank
1 Animalia 1 kingdom
2 Chordata 44 phylum
3 Elasmobranchii 121 class
4 Rajiformes 884 order
5 Rajidae 5877 family
6 Raja 2342057 genus
7 Raja montagui 5216014 species
$`5216208`
$`5216208`[[1]]
name key rank
1 Animalia 1 kingdom
2 Chordata 44 phylum
3 Elasmobranchii 121 class
4 Rajiformes 884 order
5 Rajidae 5877 family
6 Amblyraja 2420436 genus
7 Amblyraja radiata 2420446 species
I would like to extract only row
number 7 for column name
and key
and to create a database like this:
df
name key
Raja montagui 5216014
Amblyraja radiata 2420446
I tried with lapply
function:
lapply(l,function(x) x[7])
but the result is this:
$`5216014`
$`5216014`[[1]]
NULL
$`5216208`
$`5216208`[[1]]
NULL
I tried to transform l
in a data frame:
data.frame(matrix(unlist(l)))
but I obtained one big column with all data as:
kingdom
phylum
class
order
family
genus
species
Animalia
Chordata
Elasmobranchii
4943
Rajiformes
Rajidae
Raja
Raja montagui
1
44
121
884
5877
2342057
5216014
4954
kingdom
phylum
class
order
family
genus
species
Animalia
Chordata
Elasmobranchii
Rajiformes
4965
Rajidae
Amblyraja
Amblyraja radiata
1
44
121
884
5877
2420436
2420446
kingdom
phylum
class
order
family
genus
species
Where am I wrong?
P.S: this kind of list
l
is an output of packages rgbif
, with code:
keySpecies <- c(5216014,2420446)
l.1 <- occ_search(taxonKey=keySpecies,
limit=1, return='hier',
curlopts=list(verbose=F))
l <- l.1[c(1:length(unique(keySpecies)))] #cut all element of list that are not useful
r list dataframe lapply
r list dataframe lapply
asked Nov 13 at 14:23
skylobo
766
766
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
lapply(l,function(x) x[7])
is close, but you need to index [row, column]
, not just [row]
. Instead do this:
res = lapply(l,function(x) x[7, c("name", "key")])
# or more simply
res = lapply(l, "[", 7, c("name", "key"))
This will still give you a list
, which you'll need to combine together into a single data frame:
do.call(rbind, res)
Edit: I installed your package and ran your code, and apparently l
is a list of lists of data frames, not a list of data frames. So we need to extract that as well:
res = lapply(lapply(l, "[[", 1), "[", 7, c("name", "key"))
res = do.call(rbind, res)
res
# name key
# 5216014 Raja montagui 5216014
# 2420446 Amblyraja radiata 2420446
R tell me: Error in x[7, c("name", "key")] : incorrect number of dimensions
– skylobo
Nov 13 at 14:36
Thank you very much!
– skylobo
Nov 13 at 14:58
add a comment |
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1 Answer
1
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oldest
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1 Answer
1
active
oldest
votes
active
oldest
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active
oldest
votes
lapply(l,function(x) x[7])
is close, but you need to index [row, column]
, not just [row]
. Instead do this:
res = lapply(l,function(x) x[7, c("name", "key")])
# or more simply
res = lapply(l, "[", 7, c("name", "key"))
This will still give you a list
, which you'll need to combine together into a single data frame:
do.call(rbind, res)
Edit: I installed your package and ran your code, and apparently l
is a list of lists of data frames, not a list of data frames. So we need to extract that as well:
res = lapply(lapply(l, "[[", 1), "[", 7, c("name", "key"))
res = do.call(rbind, res)
res
# name key
# 5216014 Raja montagui 5216014
# 2420446 Amblyraja radiata 2420446
R tell me: Error in x[7, c("name", "key")] : incorrect number of dimensions
– skylobo
Nov 13 at 14:36
Thank you very much!
– skylobo
Nov 13 at 14:58
add a comment |
lapply(l,function(x) x[7])
is close, but you need to index [row, column]
, not just [row]
. Instead do this:
res = lapply(l,function(x) x[7, c("name", "key")])
# or more simply
res = lapply(l, "[", 7, c("name", "key"))
This will still give you a list
, which you'll need to combine together into a single data frame:
do.call(rbind, res)
Edit: I installed your package and ran your code, and apparently l
is a list of lists of data frames, not a list of data frames. So we need to extract that as well:
res = lapply(lapply(l, "[[", 1), "[", 7, c("name", "key"))
res = do.call(rbind, res)
res
# name key
# 5216014 Raja montagui 5216014
# 2420446 Amblyraja radiata 2420446
R tell me: Error in x[7, c("name", "key")] : incorrect number of dimensions
– skylobo
Nov 13 at 14:36
Thank you very much!
– skylobo
Nov 13 at 14:58
add a comment |
lapply(l,function(x) x[7])
is close, but you need to index [row, column]
, not just [row]
. Instead do this:
res = lapply(l,function(x) x[7, c("name", "key")])
# or more simply
res = lapply(l, "[", 7, c("name", "key"))
This will still give you a list
, which you'll need to combine together into a single data frame:
do.call(rbind, res)
Edit: I installed your package and ran your code, and apparently l
is a list of lists of data frames, not a list of data frames. So we need to extract that as well:
res = lapply(lapply(l, "[[", 1), "[", 7, c("name", "key"))
res = do.call(rbind, res)
res
# name key
# 5216014 Raja montagui 5216014
# 2420446 Amblyraja radiata 2420446
lapply(l,function(x) x[7])
is close, but you need to index [row, column]
, not just [row]
. Instead do this:
res = lapply(l,function(x) x[7, c("name", "key")])
# or more simply
res = lapply(l, "[", 7, c("name", "key"))
This will still give you a list
, which you'll need to combine together into a single data frame:
do.call(rbind, res)
Edit: I installed your package and ran your code, and apparently l
is a list of lists of data frames, not a list of data frames. So we need to extract that as well:
res = lapply(lapply(l, "[[", 1), "[", 7, c("name", "key"))
res = do.call(rbind, res)
res
# name key
# 5216014 Raja montagui 5216014
# 2420446 Amblyraja radiata 2420446
edited Nov 13 at 14:59
answered Nov 13 at 14:30
Gregor
62.7k988167
62.7k988167
R tell me: Error in x[7, c("name", "key")] : incorrect number of dimensions
– skylobo
Nov 13 at 14:36
Thank you very much!
– skylobo
Nov 13 at 14:58
add a comment |
R tell me: Error in x[7, c("name", "key")] : incorrect number of dimensions
– skylobo
Nov 13 at 14:36
Thank you very much!
– skylobo
Nov 13 at 14:58
R tell me: Error in x[7, c("name", "key")] : incorrect number of dimensions
– skylobo
Nov 13 at 14:36
R tell me: Error in x[7, c("name", "key")] : incorrect number of dimensions
– skylobo
Nov 13 at 14:36
Thank you very much!
– skylobo
Nov 13 at 14:58
Thank you very much!
– skylobo
Nov 13 at 14:58
add a comment |
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