Hi Amy,
Suppose I have a dataframe as given below.

DF = data.frame(X = c("US", "UK", "Canada", "Australia", "Newzealand"), Y = 
c(52, 36, 74, 10, 98))

drv <- dbDriver("SQLite")
tfile <- tempfile()
con <- dbConnect(drv, dbname = tfile)
data(DF)
dbWriteTable(con, ......., .......) # Didn't know what to write here.

data() loads data sets which ship with R or an extension package. Your data frame DF is already in the working environment, hence it is neither possible nor necessary to "load" it, the expression

data(DF)

is an error. The command to write DF to a database would be something like

dbWriteTable(con, "DF", DF)

where the second argument is the name of the database table to write to, the 
third argument the data frame you want to write (please have a look at the 
documentation).

I understand I have raised a query in a stupid manner. I need to understand is 
there any way I can use SQLite to read
 dataframe or for that matter any csv file say e.g. 'DF.csv'.

To copy a CSV file to SQLite, read it via read.table() or read.csv() first, 
then copy the result with dbWriteTable. There might be a way to read files 
directly from SQLite, but I don't know about that.

Best regards,

Andreas







--
Andreas Borg
Medizinische Informatik

UNIVERSITÄTSMEDIZIN
der Johannes Gutenberg-Universität
Institut für Medizinische Biometrie, Epidemiologie und Informatik
Obere Zahlbacher Straße 69, 55131 Mainz
www.imbei.uni-mainz.de

Telefon +49 (0) 6131 175062
E-Mail: b...@imbei.uni-mainz.de

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