similar to: specifying header in sqldf() and RSQLite

I am using the example in this post: https://stat.ethz.ch/pipermail/r-help/2010-October/257204.html # create a file write.table(iris,"iris.csv",row.names=FALSE,sep=",",quote=FALSE) # this does not work # has the syntax changed or is there a mistake in my usage? # the line from the post above is: # read.csv.sql("myfile.csv, sql = "select * from file 2000,

Hi All, I have a very (very) large tab-delimited text file without headers. There are only 8 columns and millions of rows. I want to make numerous pieces of this file by sub-setting it for individual stations. Station is given as in the first column. I am trying to learn and use sqldf package for this but am stuck in a couple of places. To simulate my requirement, I have taken iris dataset as an

This is my first post. I am running Mac OS X version 10.6.3. I am running R 2.11.0 GUI 1.33 64 bit. This may or may not be related to sqldf, but I experienced this problem while attempting to use an sqldf query. The same code runs with no problem on my Windows machine. Here is what happens: > r=sqldf("select ... ") Loading required package: tcltk Loading Tcl/Tk interface ... Then

Hello Group, I am having trouble with the sqldf package on unix. The same code works fine on windows. Silly Example script: # Load the package library(sqldf) # Use the titanic data set data(women) colnames(women) head(women) sqldf('select height, count(*) from women where height is not null group by weight') Unix Output and error: bash-3.00$ R --vanilla <testR.R

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

Have a long script that runs fine on windows (32 bit). When I try to run in on two different macs (64 bit), however, it hangs with identical behavior. I start with: library(sqldf) This results in messages: Loading required package: DBI Loading required package: RSQLite Loading required package: RSQLite.extfuns Loading required package: gsubfn Loading required package: proto Loading required

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(" ",

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)

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

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

trying to structure sql to merge two datasets. structure follows: dbs.possible.combos (all possible combinations of dates and places) Date Place 1/1/10 N-01 1/1/10 S-02 1/2/10 N-01 1/2/10 S-02 etc... dbs.aggregate (the raw data aggregated by date and location) Date Place Days 1/1/10 N-01 6 1/1/10 S-02 10 1/2/10 S-02 5 Trying to merge so I look-up the values for each possible combo dbs.final

Dear list, I need to read in a big table with 487 columns and 238,305 rows (row names and column names are supplied). Is there a code to read in the table in a fast way? I tried the read.table() but it seems that it takes forever :( Thanks a lot! Best, Allen

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

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

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

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, 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:

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.