similar to: RSQLite column names underscores

What am I doing wrong, or is the \r that I'm getting in the example below a bug? > a <- (1:10) > b <- (LETTERS[1:10]) > df <- as.data.frame(cbind(a, b)) > > df a b 1 1 A 2 2 B 3 3 C 4 4 D 5 5 E 6 6 F 7 7 G 8 8 H 9 9 I 10 10 J > library(RSQLite) > drv <- dbDriver("SQLite") > con <- dbConnect(drv, dbname = "Test")

What am I doing wrong, or is the \r that I'm getting in the example below a bug? > a <- (1:10) > b <- (LETTERS[1:10]) > df <- as.data.frame(cbind(a, b)) > > df a b 1 1 A 2 2 B 3 3 C 4 4 D 5 5 E 6 6 F 7 7 G 8 8 H 9 9 I 10 10 J > library(RSQLite) > drv <- dbDriver("SQLite") > con <- dbConnect(drv, dbname = "Test")

Hi, I'm experimenting with using (R)SQLite to do data management. Here are two little problems that I've encountered: 1. The presence of ',' in string values causes trouble since ',' is also the delimiter used in the SQL statement. 2. A newline '\n' line attached to the last string value of each row. Some examples: > library (RSQLite) Loading required

I'd like to search for a particular string in an SQLite database using RSQLite, but I'm running into problems constructing the query properly, because of embedded quotes and parens in the string. Is there a function that escapes these for me, or some other fixup that would let me do the queries below? In the real situation I don't have control over what strings get searched for.

Hi All, I am trying to make write a table in RSQLite. And I get the error mentioned below mat<-as.data.frame(matrix(rnorm(n=244000000),nrow=244000,ncol=1000)) > dbWriteTable(con, "array", mat) [1] FALSE *Warning message: In value[[3]](cond) : RS-DBI driver: (error in statement: too many SQL variables)* Can someone please tell me what is maximum size of a table( max number of

All: I am using RSqlite and want to be able to update individual values in a record, such as with this simple example: library(RSQLite) drv<-dbDriver("SQLite") con<-dbConnect(drv,"test.db") my.data<-data.frame(countries=c("US","UK","Canada","Australia","NewZealand"),vals=c(52,36,74,10,98))

Dear r helpers, At first, I apologize for raising a query which seems to be a stupid interpretation on my part. I am trying to learn SQLite. Following is an example given in the RSQLite.zip file (Page # 4) drv <- dbDriver("SQLite") tfile <- tempfile() con <- dbConnect(drv, dbname = tfile) data(USArrests) dbWriteTable(con, "arrests", USArrests) On the similar

Happy new year, dear listers, I have a question about Rsqlite. when I fetch the data out of sqlite database, there is something like '\r\n' at the end of last column. Here is the example: Sepal_Length Sepal_Width Petal_Length Petal_Width Species 1 5.1 3.5 1.4 0.2 setosa\r\n 2 4.9 3.0 1.4 0.2 setosa\r\n 3

Hello I haev some .csv data files with missing values - eg below 1,'F','C04','X100',20.93,'C','B',7,8,7.5,2421,2230,2230,2,1,85,43,85,46,48,60 If I have a missing value - so file looks like ,85,46,,48, etc then RSQLite reads it as zero. ,85,46,0,48, etc I need it read it as NA. Tried various combinations with no success, adn found nothing on help site.

Version 0.4-1 of the RSQLite package has been uploaded to CRAN. RSQLite embeds the SQLite engine in R (see http://www.sqlite.org) Changes include: * Fixed problems exporting/importing NA's * An new experimental dbWriteTable() method to create SQLite tables from simple files (delimited unquoted fields), e.g., > dbWriteTable(con, "table_name", "file_name", ...)

Version 0.4-1 of the RSQLite package has been uploaded to CRAN. RSQLite embeds the SQLite engine in R (see http://www.sqlite.org) Changes include: * Fixed problems exporting/importing NA's * An new experimental dbWriteTable() method to create SQLite tables from simple files (delimited unquoted fields), e.g., > dbWriteTable(con, "table_name", "file_name", ...)

A new version of RSQLite has been pushed to CRAN. In this version... * Further integration of the manifest type system available since SQLite 3. We now obtain the column type from the DB instead of pulling everything across as a character vector and calling type.convert. This should improve performance and provide a more reliable interface to build on top of. Note, however, that since

A new version of RSQLite has been pushed to CRAN. In this version... * Further integration of the manifest type system available since SQLite 3. We now obtain the column type from the DB instead of pulling everything across as a character vector and calling type.convert. This should improve performance and provide a more reliable interface to build on top of. Note, however, that since

Hi all, I am attempting to learn SQL through sqldf... One task I am particularly interested in is merging separate (presumably large) files into a single table without loading these files into R as an intermediate step (by loading them into SQLite and merging them there). Taking a step back, I've considered these alternatives: 1) I know if I use straight SQLite commands I might use the

A new version of RSQLite has been uploaded to CRAN. Details on the enhancements and fixes are below. Please direct questions to the R-sig-db mailing list. Version 0.11.0 - Enhance type detection in sqliteDataType (dbDataType). The storage mode of a data.frame column is now used as part of the type detection. Prior to this patch, all vectors with class other than numeric or logical were

A new version of RSQLite has been uploaded to CRAN. Details on the enhancements and fixes are below. Please direct questions to the R-sig-db mailing list. Version 0.11.0 - Enhance type detection in sqliteDataType (dbDataType). The storage mode of a data.frame column is now used as part of the type detection. Prior to this patch, all vectors with class other than numeric or logical were

Dear R helpers Suppose following is an output due to some R process. I wish to save it as a table in 'temp.db' df <- data.frame(x = c(5, 4, 3, 11), y = c(25, 16, 9, 121))     library(RSQLite)     write('** Initializing','')     drv <- dbDriver("SQLite", shared.cache = TRUE)     con <- dbConnect(drv, dbname = "temp.db",

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Dear all, I am trying to install RSQLite package since I want to install "sqldf", and I used >> install.packages("RSQLite") first, which gave Error message as below: make: *** [RS-DBI.o] Error 1 chmod: cannot access `/usr/lib/R/library/RSQLite/libs/*': No such file or directory ERROR: compilation failed for package 'RSQLite' ** Removing

Hi folks, Ubuntu 10.04 64 bit Where can I find 64 bit RSQLite? It seems not there; RSQLite: SQLite interface for R http://cran.r-project.org/web/packages/RSQLite/index.html TIA B.R. Stephen L