similar to: sqldf for Very Large Tab Delimited Files

I am trying to generate some scaffolding using "ruby script/generate scaffold order order". It always fails with the message "uninitialized constant CHARACTER_SET". I have an orders table in a Firebird databse called TARPRILOGISTICS.GDB. The database is in a folder named "database" in my rails app root folder. I tried FireRuby 0.4 and 0.4.1. My config file looks

Dear All, Is sqldf equipped with delete queries? I have tried delete queries but with no success. Thanks in advance, Paul

I am getting the following error message while using the as.brob function in some computations: Error in out.x[ss] <- pmax(x1[ss], x2[ss]) + log1p(+exp(-abs(x1[ss] - : NAs are not allowed in subscripted assignments Is there any obvious mistake I am making here that can resolve the above error message? Thanks for your help. Chow -- View this message in context:

Hello, I'm having trouble discovering what's going wrong with my use of natural joins via sqldf. Following the instructions under 4i at http://code.google.com/p/sqldf/, which discusses creating indices to speed joins, I have been only unreliably able to get natural joins to work. For example, > Tid <- c('AES 01-01-02 10:58:00', 'AES 01-01-02 11:53:00', 'AES

Hi, sqldf is a fantastic package, but when the SELECT procedure runs unused levels remain in the output. I tried with the drop function, but without success. Do you have any suggestions? Thanx, Gianandrea data(iris) require(sqldf) base<-sqldf("select * from iris where Species <> 'setosa'") str(base) # Species with 3 levels! -- View this message in context:

Fellow R programmers, I'd like to submit SQLDF statements with R objects as column names. For example, I want to assign "X" to "var1" (var1<-"X") and then refer to "var1" in the SQLDF statement. SQLDF needs to understand that when I reference "var1", it should look for "X" in the dataframe. This is necessary because my SQLDF

Hi everyone, I have the following: sqldf("select Premie,count(tpounds) N,avg(tpounds) Avg_Weight, stddev_samp(tpounds) StdDev from children group by Premie having !is.na(Premie)") sqldf() does not like the !is.na(Premie) specification. How does one exclude a "missing" group in an aggregated query using sqldf()? Thanks! Dan [[alternative HTML version deleted]]

I'm getting an error message when using the new version of sqldf, > library(sqldf) > str(kdv) 'data.frame': 71 obs. of 3 variables: $ dpss: num 0.117 0.144 0.164 0.166 0.165 ... $ npdp: num 0.1264 0.0325 0.0109 0.0033 0.0055 ... $ logk: num 1.12 1.29 1.41 1.41 1.42 ... > test=sqldf("select * from kdv") Error in get("fun", env = this, inherits =

Dear all, I recently read the book " R data preperation and manipulation using sqldf package" by Djoni Darmawikarta However, I have a problem with manipulation of dates using this package, I do not get the expected results. Do I need to install some packages to be able to subset the data by dates in sqldf? I am not getting Djoni Darmawikarta email address. Please see the practice

Hi, sqldf sounds like a very useful package but I don't even get the example to run: > a1s <- sqldf("select * from warpbreaks limit 6") Error in combine(FUN(...)) : argument "value" is missing, with no default > I am using R 2.6.1 on Windows Vista Business and have updated all packages. Some help would be very much appreciated. Many thanks, Werner

sqldf is an R package for running SQL select statements on one or more R data frames. It is optimized for convenience making it useful for ad hoc queries against R data frames. Given an SQL select statement whose tables are the names of R data frames it: - sets up the database (by default it transparently sets up an in memory SQLite database using RSQLite; however, MySQL via RMySQL, can be

sqldf is an R package for running SQL select statements on one or more R data frames. It is optimized for convenience making it useful for ad hoc queries against R data frames. Given an SQL select statement whose tables are the names of R data frames it: - sets up the database (by default it transparently sets up an in memory SQLite database using RSQLite; however, MySQL via RMySQL, can be

Hey guys, So I'm working with a project where I manage a database within R, and I'm developing a script/function that will automatically run my queries in R depending on the date parameters passed in. The problem is that when I create variables for the dates, and use those variables in my sqldf statements, R says that there is no such column in the dataframe (which is true!). My question

Hi list, Can anyone tell my why the following does not work? Thanks a lot! Your help is very much appreciated. DF = data.frame(read.table(textConnection(" B C D E F G 8025 1995 0 4 1 2 8025 1997 1 1 3 4 8026 1995 0 7 0 0 8026 1996 1 2 3 0 8026 1997 1 2 3 1 8026 1998 6 0 0 4 8026 1999 3 7 0 3 8027 1997 1 2 3 9 8027 1998 1 2 3 1 8027 1999

I've been using sqldf heavily lately but have encountered problems with ordering of observations or calculating statistics such as max() and min() when the variable used is of class Date. For example, if I run the following code: =============== begin code ================= library(sqldf)

Hi, I am new to R and trying to migrate from SAS. I am trying to use sqldf to create a new table from existed table and change some of the columns. I have table called DataOld with columns commodity, rate and total and I am trying to create new table called DataNew with columns commodity, ratenew and totalNew. > sqldf("create table datanew as select commodity, ratenew as rate * 10, >

See FAQ #4 on the sqldf github home page. On Fri, Aug 11, 2017 at 9:21 AM, Mangalani Peter Makananisa <pmakananisa at sars.gov.za> wrote: > Dear all, > > I recently read the book " R data preperation and manipulation using sqldf package" by Djoni Darmawikarta > However, I have a problem with manipulation of dates using this package, I do not get the expected results.

I am trying to exclude integer values from a small data frame 1, d1 that have matching hits in data frame 2, d2 (Very big) which involves matching those hits first. I am trying to use sqldf on the df's in the following fashion: df1: V1 12675 14753 16222 18765 df2: head(df2) V1 V2 13647 rd1500 14753 rd1580 15987 rd1590 16222 rd2020.....

Buenos días: Creo un data.frame del siguiente modo: d<-data.frame(a=c("112.45º", "23,56º"), b=c("112.45\u00b0", "23.56\u00b0")) > d         a       b 1 112.45º 112.45° 2  23,56º  23.56° Como podéis ver, para la primera columna vuelco el grado directamente, y para la segunda utilizo \u00b0, que es lo que debo perseguir. Ahora obtengo d2 del

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