similar to: Searching for a string in RSQLite

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

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:") >

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

Hi all, I just noticed (the hard way of course) that when a query returns 0 rows, the columns in the resulting data.frame get dropped as well. See the following example code (where conn is an active connection to an SQLite db): > dbGetQuery(conn, "select 1 as hey, 2 as ho where 1") hey ho 1 1 2 > dbGetQuery(conn, "select 1 as hey, 2 as ho where 0") data frame

Hi, I am running the RODBC examples form the help guide. I am trying to UPDATE a table in an Access data base but I am having an error. library(RODBC) library(termstrc) path = getwd() setwd(getwd()) dbName = "data.mdb" pathdbname = paste(path,"/",dbName,sep="") accesChannel = odbcConnectAccess(pathdbname, uid = "", pwd = "")

Dear R-Users, I need a very fast and reliable database solution so I try to serialize a data.frame (to binary data) and to store this data to an SQLite database. This is what I tried to do: library(RSQLite) con <- dbDriver("SQLite") db <- dbConnect(con, "test") dbSendQuery(db, 'CREATE TABLE frames("simID" INT, "data" BLOB)') data.bin <-

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: >

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 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

Dear R users, When I tried to use princomp() from stats packages to do Principal Components Analysis, I am not very clear what is the "scale". And the scores are different from "PROC PRINCOMP" procedure from SAS. Using the example data from this package: restpc <- princomp(USArrests, cor = TRUE) > restpc$scale Murder Assault UrbanPop Rape 4.311735 82.500075

Dear list, Being new to both the postgres database, ODBC and the RODBC interface, I am somewhat confused by some of the problems I am experiencing trying to connect R to the database. Whai I am trying is basically the example part of the help file for the sqlSave function: > library(RODBC) > odbcConnect("theodor") -> channel > data(USArrests) > sqlSave(channel,

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

I am developing an R package which includes datasets. The build and install works correctly. However, when I access the dataset ("BowRiver"), I get: > data(BowRiver) > BowRiver Error: object "BowRiver" not found. However, I can access the dataset from > data Example R datasets (such as USArrests) are loaded and can be accessed by the dataset name: >

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))

In comparing the results of princomp and prcomp I find: 1. The reported standard deviations are similar but about 1% from each other, which seems well above round-off error. 2. princomp returns what I understand are variances and cumulative variances accounted for by each principal component which are all equal. "SS loadings" is always 1. 3. Same happens

So as often there is more to it than you first think. Let's consider this an RFC (for experienced long time R users) : >>>>> Martin Maechler <maechler at stat.math.ethz.ch> >>>>> on Wed, 9 Aug 2017 10:45:56 +0200 writes: >>>>> William Dunlap via R-devel <r-devel at r-project.org> >>>>> on Tue, 8 Aug 2017 11:59:45

Hi, I run the example for princomp for R211 I got the following error for biplot > ## The variances of the variables in the > ## USArrests data vary by orders of magnitude, so scaling is appropriate > (pc.cr <http://pc.cr> <- princomp(USArrests)) # inappropriate Erreur dans cov.wt(z) : 'x' must contain finite values only > princomp(USArrests, cor = TRUE) # =^=

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