Mixing
Using download.file to download many files differing by year
There is probably an obvious answer to this, but I cannot seem to find an straightforward answer.
I am endeavoring to download many files from the IPEDS database to conduct some research, but it gets tedious---for example, when I use download.file
URL <- "http://nces.ed.gov/ipeds/datacenter/data/SAL2012_NIS.zip"
download.file(URL, destfile="tmp_SAL2012_NIS.zip")
unzip("tmp_SAL2012_NIS.zip")
SAL2012_NIS <- read.table("SAL2012_NIS_rv.csv",
header=T, stringsAsFactors=F, sep=",", row.names=NULL)
SAL2012_NIS<-transform(SAL2012_NIS, YEAR=2012)
The file nicely downloads to my C: file into the SAMHAMPTON directory, but I would like to do this, assuming the variables have not changed, for about twenty years. Generally, I have had to use twenty separate code snippets like that above to get the twenty files, and then I use the sqldf package to create a union merge.
Is there any way to make this more efficient, such as HD1997:HD2017, or something like that so I can use less space?
merge
asked Nov 19 '18 at 21:54
SHILLATESHILLATE
133
add a comment |
There is probably an obvious answer to this, but I cannot seem to find an straightforward answer.
I am endeavoring to download many files from the IPEDS database to conduct some research, but it gets tedious---for example, when I use download.file
URL <- "http://nces.ed.gov/ipeds/datacenter/data/SAL2012_NIS.zip"
download.file(URL, destfile="tmp_SAL2012_NIS.zip")
unzip("tmp_SAL2012_NIS.zip")
SAL2012_NIS <- read.table("SAL2012_NIS_rv.csv",
header=T, stringsAsFactors=F, sep=",", row.names=NULL)
SAL2012_NIS<-transform(SAL2012_NIS, YEAR=2012)
The file nicely downloads to my C: file into the SAMHAMPTON directory, but I would like to do this, assuming the variables have not changed, for about twenty years. Generally, I have had to use twenty separate code snippets like that above to get the twenty files, and then I use the sqldf package to create a union merge.
Is there any way to make this more efficient, such as HD1997:HD2017, or something like that so I can use less space?
merge
asked Nov 19 '18 at 21:54
SHILLATESHILLATE
133
add a comment |
There is probably an obvious answer to this, but I cannot seem to find an straightforward answer.
I am endeavoring to download many files from the IPEDS database to conduct some research, but it gets tedious---for example, when I use download.file
URL <- "http://nces.ed.gov/ipeds/datacenter/data/SAL2012_NIS.zip"
download.file(URL, destfile="tmp_SAL2012_NIS.zip")
unzip("tmp_SAL2012_NIS.zip")
SAL2012_NIS <- read.table("SAL2012_NIS_rv.csv",
header=T, stringsAsFactors=F, sep=",", row.names=NULL)
SAL2012_NIS<-transform(SAL2012_NIS, YEAR=2012)
The file nicely downloads to my C: file into the SAMHAMPTON directory, but I would like to do this, assuming the variables have not changed, for about twenty years. Generally, I have had to use twenty separate code snippets like that above to get the twenty files, and then I use the sqldf package to create a union merge.
Is there any way to make this more efficient, such as HD1997:HD2017, or something like that so I can use less space?
merge
asked Nov 19 '18 at 21:54
SHILLATESHILLATE
133
There is probably an obvious answer to this, but I cannot seem to find an straightforward answer.
I am endeavoring to download many files from the IPEDS database to conduct some research, but it gets tedious---for example, when I use download.file
URL <- "http://nces.ed.gov/ipeds/datacenter/data/SAL2012_NIS.zip"
download.file(URL, destfile="tmp_SAL2012_NIS.zip")
unzip("tmp_SAL2012_NIS.zip")
SAL2012_NIS <- read.table("SAL2012_NIS_rv.csv",
header=T, stringsAsFactors=F, sep=",", row.names=NULL)
SAL2012_NIS<-transform(SAL2012_NIS, YEAR=2012)
The file nicely downloads to my C: file into the SAMHAMPTON directory, but I would like to do this, assuming the variables have not changed, for about twenty years. Generally, I have had to use twenty separate code snippets like that above to get the twenty files, and then I use the sqldf package to create a union merge.
Is there any way to make this more efficient, such as HD1997:HD2017, or something like that so I can use less space?
merge
merge
asked Nov 19 '18 at 21:54
SHILLATESHILLATE
133
asked Nov 19 '18 at 21:54
SHILLATESHILLATE
133
asked Nov 19 '18 at 21:54
SHILLATESHILLATE
133
asked Nov 19 '18 at 21:54
SHILLATESHILLATE
133
asked Nov 19 '18 at 21:54
SHILLATESHILLATE
133
133
add a comment |
add a comment |
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