similar to: The RSQLite version of dbGetQuery drops colums

Well here is one more brain-teaser related to assigning stuff into a list of list. What if I need to create a new list of empty lists? I have actually got a solution to this problem: l = list(list()) for ( i in sequence(length-1) ) { l = list(unlist(l,recursive=FALSE), list()) } But it is not very neat to do this in a loop. Are there any cuter ways to do this?

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 there, When I extract data from SQLite to R, the data types (or modes) of the extracted data seems to be determined by the value of the first row. Please see the following example. When I put the missing values first, the column extracted is of the mode character. > str(dbGetQuery(sql.industry, + "select pya_var from annual_data3 + order by

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: >

I'm using read.delim to successfully read in tab delimited data, but some columns' values are comma seperated, reflecting the fact that user chose a few answers on a multi-select question. I understand that each answer is its own category and so could be represented as a seperate column in the data set, but I'd like the option of reading in the data column, and converting it to a

I'm new to using sql so I'm having difficulties (and worries) in adding a new column of data to a table I have. Its a very large file (around 5 Gb) which is why I'm having to use SQL I have a table with variables ID, IDrec and IDdes and the variables IDrec and IDdes give a mapping of some other values but the other values are associated with the ID variable (think of IDrec and IDdes

Dear all, I'm trying to import a csv file into sqlite3 and from there into R. Everything looks fine exepct that R outputs the character values in an odd fashion: they are shown as "\"CHARACTER\"" instead of "CHARACTER", but only if I show the character variable as a vector. Does someone know why this happens? Below is a sample code. The first part is written in

RSQLite 0.6-7 has been uploaded to CRAN and should hit a mirror near you in the next few days. This version changes the behavior of the dbGetQuery method to make it more consistent with dbSendQuery. Specifically: 1. dbGetQuery now closes a complete result set as dbSendQuery does. 2. If there is an incomplete result set open, dbGetQuery still opens a new temporary connection, but now issues

RSQLite 0.6-7 has been uploaded to CRAN and should hit a mirror near you in the next few days. This version changes the behavior of the dbGetQuery method to make it more consistent with dbSendQuery. Specifically: 1. dbGetQuery now closes a complete result set as dbSendQuery does. 2. If there is an incomplete result set open, dbGetQuery still opens a new temporary connection, but now issues

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")

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:") >

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))

Hi Philip, You've probably realized by now that R doesn't like column names that start with a number. If you try to access an R-dataframe column named 2B or 3B with the familiar "$" notation, you'll get an error: > library(DBI) > library(RSQLite) > con2 <- dbConnect(SQLite(), "~/R_Dir/lahmansbaseballdb.sqlite") > Hack12Batting <-

Rjdbc consistently gives me an execution error with postgresql 9.0s JDBC4 driver. It's probably something trivial so am including my code below: library("RJDBC") param <- 249 param2 <- 188129 postgres <- JDBC("org.postgresql.Driver", ".m2/repository/postgresql/postgresql/9.0-801.jdbc4/postgresql-9.0-801.jdbc4.jar") con <- dbConnect(postgres,

The double quotes are required by SQL if a name is not of the form letter-followed-by-any-number-of-letters-or-numbers or if the name is a SQL keyword like 'where' or 'select'. If you are doing this from a function, you may as well quote all the names. -Bill On Fri, Oct 2, 2020 at 6:18 PM Philip <herd_dog at cox.net> wrote: > The \?2B\? worked. Have no idea why. Can

This is really a feature of SQL, not R. SQL requires that you double quote column names that start with numbers, include spaces, etc., or that are SQL key words. E.g., > d <- data.frame(Order=c("sit","stay","heel"), Where=c("here","there","there"), From=c("me","me","you")) >

Hi there, I had an error when using RSQLite. My code and the error message are the following: > dbGetQuery(sql.dispersion, + "create table monthly_data_temp as + select a.*, b.industry + from monthly_data as a left join + siccd_industry_ff49 as b + on a.siccd = b.siccd + order by permno, date") Error

I have not devoted time to setting up ROracle since binaries are not available and it seems to require some effort to compile (see http://cran.r-project.org/web/packages/ROracle/index.html). On the other hand, RODBC worked more or less magically once I set up the data sources. What is your success using ROracle and why would it be preferable to RODBC ? -Avram On Thursday, September 11,

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