similar to: "\r" with RSQLite

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

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

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.

I'm changing some functions from storing data in SQLite (using RSQLite) to storing it in PostgreSQL (using RODBC). When trying to store very long character fields I get the following message: > sqlSave(pg, Grids, rownames = FALSE, append = TRUE) Warning messages: 1: In odbcUpdate(channel, query, mydata, paramdata, test = test, verbose = verbose, : character data truncated in column

Hi folks, I'm prepared building my own datafiles, simple file at start, for testing wondering how to process? Which software will be used, MySQL/MS-SQL/MS-Excel/Open Office-Calc etc? On searching I found r-cran-rmysql on Ubuntu repo. Further searching I found; RMySQL: R interface to the MySQL database http://cran.r-project.org/web/packages/RMySQL/index.html Whether install the above

Hello, I would like to compress a long string (character vector), store the compressed string in the text field of a SQLite database (using RSQLite), and then load the text back into memory and decompress it back into the the original string. My character vector can be compressed considerably using standard gzip/bzip2 compression. In theory it should be much faster for me to compress/decompress

I'm having trouble getting RMySQL to load. I was able to build it and install it (RMySQL_0.5-11.tar.gz). I was also able to build and install mysql-5.0.37. I've read many postings about this but have not found a mention of my particular problem (some closely related). I get the "unable to load shared library, no such file" error, but all the files do exist, RMySQL.so and

HI. I make this code: getdata<-function('a','b','c' ,'d','e','f'){ drv <- dbDriver("SQLite") con<-dbConnect(drv, "sqlite.db") lt<-dbListTables(con) myf<-data.frame(NULL) for (i in 1:length(lt)) { myfile<-dbReadTable(con,lt[i]) myfile1<-myfile[-c(14:44)] myfile1$MODEL<-gsub(" ",

Hi all, This is a potentially very stupid question about MySQL <-> R interaction, but I have not been able to solve it. I'm just trying to connect R to my MySQL databse, and gets this: > library(RMySQL) Loading required package: methods > m <- dbDriver("MySQL") > con <- dbConnect(m,group="testdb") Process R segmentation fault at Wed Oct 16 07:04:30

Dear R User's Please help me to debug this issue. I am trying to write some data ( i= 6) to PostgreSQL database, but it not writing. Is there any issue in the way I use "dbWriteTable"? ++++++++++++++++++ Source Code ++++++++++++++++++++++++ library("DBI") library("RPostgreSQL") drv1 <- dbDriver("PostgreSQL") i=6 connAE1 <- dbConnect(drv1,host

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",

Should functions or the user be responsible for coercing an S4 object argument containing the proper object (and thus should below be considered a bug in the packages or not)? The example is with RSQLite but the same thing happens with RMySQL, and other DBI packages. > library("RSQLite") Loading required package: DBI > m <- dbDriver("SQLite") > con <-

I've been putting together a package that defined generic methods for database access. The packages is called "Rdbi." It borrows as much as possible from existing database packages / proposals. I'd like to start a discussion about the proposed interface. Here's what I've come up with so far: # # Rdbi: connectionMethods.R # dbConnect <- function(dbObj, ...)

I don't use MySQL but I have seen messages like this before. They often have replies which indicate that you need to follow the instructions more closely. I suggest you search the list for these previous posts as I'm sure there is help there, somewhere! Tom > -----Original Message----- > From: Adriano von Sydow [mailto:pdasilva at xtra.co.nz] > Sent: Thursday, 10 March 2005 5:13

Dear list, I want to insert a recorde into a SQLite table by dbGetQuery(), but there is a problem when the value contains quotation mark. > dd<-data.frame(txt=c("having both ' and \" in character.","OK")) > library(RSQLite) Loading required package: DBI > con<-dbConnect(dbDriver("SQLite"),":memory:") >

Hello, I am trying to import data from an SQLite database to R. Unfortunately, I seem to get wrong data when I try to import very large numbers. For example: I look at the database via SQLiteStudio(v.1.1.3) and I see the following values: OrderID Day TimeToclose 1 2009-11-25 29467907000 2 2009-11-25 29467907000 3 2009-11-25 29467907000 Now I run this R Code: >

Hi, I'm working in R 2.11.1 x64 on Windows x86_64-pc-mingw32. I'm trying to insert a very large CSV file into a SQLite database. I'm pretty new to working with databases in R, so I apologize if I'm overlooking something obvious here. I'm trying to work with the American Community Survey data, which is two 1.3GB csv files. I have enough RAM to read one of them into memory,

Is there a way of removing all rows with missing values from a data frame? I usually use subset(x, var1!="NA") and repeat for each variable. It would be nice to be able to do it in one fell swoop. Also, surprisingly, it doesn't always work. Sometimes I'm left with an empty set even though not all rows have missing values for the variable. Cheers, mikkel Mikkel Grum,