Reputation: 3515
I have downloaded a json file of Nobel Laureates and transformed it to a list, named 'nobels'. A couple of records are here shown in the structure
str(nobels)
List of 1
$ laureates:List of 2
..$ :List of 13
.. ..$ id : chr "359"
.. ..$ firstname : chr "Axel Hugo Theodor"
.. ..$ surname : chr "Theorell"
.. ..$ born : chr "1903-07-06"
.. ..$ died : chr "1982-08-15"
.. ..$ bornCountry : chr "Sweden"
.. ..$ bornCountryCode: chr "SE"
.. ..$ bornCity : chr "Linköping"
.. ..$ diedCountry : chr "Sweden"
.. ..$ diedCountryCode: chr "SE"
.. ..$ diedCity : chr "Stockholm"
.. ..$ gender : chr "male"
.. ..$ prizes :List of 1
.. .. ..$ :List of 5
.. .. .. ..$ year : chr "1955"
.. .. .. ..$ category : chr "medicine"
.. .. .. ..$ share : chr "1"
.. .. .. ..$ motivation : chr "\"for his discoveries concerning the nature and mode of action of oxidation enzymes\""
.. .. .. ..$ affiliations:List of 1
.. .. .. .. ..$ :List of 3
.. .. .. .. .. ..$ name : chr "Karolinska Institutet, Nobel Medical Institute"
.. .. .. .. .. ..$ city : chr "Stockholm"
.. .. .. .. .. ..$ country: chr "Sweden"
..$ :List of 10
.. ..$ id : chr "774"
.. ..$ firstname : chr "Richard"
.. ..$ surname : chr "Axel"
.. ..$ born : chr "1946-07-02"
.. ..$ died : chr "0000-00-00"
.. ..$ bornCountry : chr "USA"
.. ..$ bornCountryCode: chr "US"
.. ..$ bornCity : chr "New York, NY"
.. ..$ gender : chr "male"
.. ..$ prizes :List of 1
.. .. ..$ :List of 5
.. .. .. ..$ year : chr "2004"
.. .. .. ..$ category : chr "medicine"
.. .. .. ..$ share : chr "2"
.. .. .. ..$ motivation : chr "\"for their discoveries of odorant receptors and the organization of the olfactory system\""
.. .. .. ..$ affiliations:List of 1
.. .. .. .. ..$ :List of 3
.. .. .. .. .. ..$ name : chr "Columbia University"
.. .. .. .. .. ..$ city : chr "New York, NY"
.. .. .. .. .. ..$ country: chr "USA"
How should I go about transforming this into a data.frame?
Although there are lists within lists, I am happy to use, say, year and category and dispense with prizes.
There is also the problem that not every record has the same number of variables - the second example here, for example, not providing the diedCountry field, amongst others
TIA
Profuse apologies. I should not really be doing this at night. The answers provided are fine for my original question. However, when I run the full list, I get an error
Error in data.frame(year = "1931", category = "literature", share = "1", :
arguments imply differing number of rows: 1, 0
Below is data causing this. It looks like it has something to do with the affiliations
nobels <- list(structure(list(id = "359", firstname = "Axel Hugo Theodor",
surname = "Theorell", born = "1903-07-06", died = "1982-08-15",
bornCountry = "Sweden", bornCountryCode = "SE", bornCity = "Linköping",
diedCountry = "Sweden", diedCountryCode = "SE", diedCity = "Stockholm",
gender = "male", prizes = list(structure(list(year = "1955",
category = "medicine", share = "1", motivation = "\"for his discoveries concerning the nature and mode of action of oxidation enzymes\"",
affiliations = list(structure(list(name = "Karolinska Institutet, Nobel Medical Institute",
city = "Stockholm", country = "Sweden"), .Names = c("name",
"city", "country")))), .Names = c("year", "category",
"share", "motivation", "affiliations")))), .Names = c("id",
"firstname", "surname", "born", "died", "bornCountry", "bornCountryCode",
"bornCity", "diedCountry", "diedCountryCode", "diedCity", "gender",
"prizes")), structure(list(id = "604", firstname = "Erik Axel",
surname = "Karlfeldt", born = "1864-07-20", died = "1931-04-08",
bornCountry = "Sweden", bornCountryCode = "SE", bornCity = "Karlbo",
diedCountry = "Sweden", diedCountryCode = "SE", diedCity = "Stockholm",
gender = "male", prizes = list(structure(list(year = "1931",
category = "literature", share = "1", motivation = "\"The poetry of Erik Axel Karlfeldt\"",
affiliations = list(list())), .Names = c("year", "category",
"share", "motivation", "affiliations")))), .Names = c("id",
"firstname", "surname", "born", "died", "bornCountry", "bornCountryCode",
"bornCity", "diedCountry", "diedCountryCode", "diedCity", "gender",
"prizes")))
Upvotes: 0
Views: 127
Reputation: 887951
You could also use unnest
from tidyr
devtools::install_github("hadley/tidyr")
library(tidyr)
Using your new dataset, this seems to work
res1 <-unnest(lapply(nobels, function(x)
as.data.frame.list(rapply(x,unlist), stringsAsFactors=FALSE)))
str(res1)
#Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 2 obs. of 19 variables:
# $ id : chr "359" "604"
#$ firstname : chr "Axel Hugo Theodor" "Erik Axel"
#$ surname : chr "Theorell" "Karlfeldt"
#$ born : chr "1903-07-06" "1864-07-20"
#$ died : chr "1982-08-15" "1931-04-08"
#$ bornCountry : chr "Sweden" "Sweden"
#$ bornCountryCode : chr "SE" "SE"
#$ bornCity : chr "Linköping" "Karlbo"
#$ diedCountry : chr "Sweden" "Sweden"
#$ diedCountryCode : chr "SE" "SE"
#$ diedCity : chr "Stockholm" "Stockholm"
#$ gender : chr "male" "male"
#$ prizes.year : chr "1955" "1931"
#$ prizes.category : chr "medicine" "literature"
#$ prizes.share : chr "1" "1"
#$ prizes.motivation : chr "\"for his discoveries concerning the nature and mode of action of oxidation enzymes\"" "\"The poetry of Erik Axel Karlfeldt\""
#$ prizes.affiliations.name : chr "Karolinska Institutet, Nobel Medical Institute" NA
#$ prizes.affiliations.city : chr "Stockholm" NA
#$ prizes.affiliations.country: chr "Sweden" NA
Upvotes: 1
Reputation: 3168
As you identified correctly, the problem is occurring due to affiliations
, whose sub-list is an empty list.
> str(nobels)
List of 2
$ :List of 13
..$ id : chr "359"
..$ firstname : chr "Axel Hugo Theodor"
..$ surname : chr "Theorell"
..$ born : chr "1903-07-06"
..$ died : chr "1982-08-15"
..$ bornCountry : chr "Sweden"
..$ bornCountryCode: chr "SE"
..$ bornCity : chr "Linköping"
..$ diedCountry : chr "Sweden"
..$ diedCountryCode: chr "SE"
..$ diedCity : chr "Stockholm"
..$ gender : chr "male"
..$ prizes :List of 1
.. ..$ :List of 5
.. .. ..$ year : chr "1955"
.. .. ..$ category : chr "medicine"
.. .. ..$ share : chr "1"
.. .. ..$ motivation : chr "\"for his discoveries concerning the nature and mode of action of oxidation enzymes\""
.. .. ..$ affiliations:List of 1
.. .. .. ..$ :List of 3
.. .. .. .. ..$ name : chr "Karolinska Institutet, Nobel Medical Institute"
.. .. .. .. ..$ city : chr "Stockholm"
.. .. .. .. ..$ country: chr "Sweden"
$ :List of 13
..$ id : chr "604"
..$ firstname : chr "Erik Axel"
..$ surname : chr "Karlfeldt"
..$ born : chr "1864-07-20"
..$ died : chr "1931-04-08"
..$ bornCountry : chr "Sweden"
..$ bornCountryCode: chr "SE"
..$ bornCity : chr "Karlbo"
..$ diedCountry : chr "Sweden"
..$ diedCountryCode: chr "SE"
..$ diedCity : chr "Stockholm"
..$ gender : chr "male"
..$ prizes :List of 1
.. ..$ :List of 5
.. .. ..$ year : chr "1931"
.. .. ..$ category : chr "literature"
.. .. ..$ share : chr "1"
.. .. ..$ motivation : chr "\"The poetry of Erik Axel Karlfeldt\""
.. .. ..$ affiliations:List of 1
.. .. .. ..$ : list() **<--problem here**
If you add some random data to that list, the code works fine.
nobels[[2]]$prizes[[1]]$affiliations[[1]]<-list(name="random data")
Use plyr
package:
library (plyr)
mydf <- ldply(nobels, data.frame)
Upvotes: 1