Displaying 4 results from an estimated 4 matches for "csvread".
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cstream
2011 Jul 14
1
SQldf with sqlite and H2
...and then update with read.csv.sql.?
Any example code will be really helpful.
2. If we use the H2 database instead of default sqlite and use the readcsv option, will that be faster and is there a way we can specify the above thought of applying a DF class to table column properties and update with CSVREAD
library(RH2)
something like SELECT * FROM CSVREAD('C:/JP/Temp/2008.csv')
Any example code will be really helpful.
3. How do we specify where the H2 file is saved. Saw something like this, when I ran this example from RH2 package, couldn't find the file in the working directory.
con...
2017 Jan 20
2
How to handle INT8 data
Hi,
I do have < INT_MAX.
This looks attractive but since they are unique identifiers, storing
them as factor will be likely to be counter-productive. (a string
version + an int32 for each)
I was looking to https://cran.r-project.org/web/packages/csvread/index.html
This looks like a good feet for my needs.
Any chances such an external package for int64 would be integrated in core ?
Le 20 janv. 2017 ? 18h57, Gabriel Becker ?crivait :
> How many unique idenfiiers do you have?
>
> If they are large (in terms of bytes) but you don't ha...
2011 Nov 08
3
Reading a specific column of a csv file in a loop
Dear all:
I have two larges files with 2000 columns. For each file I am
performing a loop to extract the "i"th element of each file and create
a data frame with both "i"th elements in order to perform further
analysis. I am not extracting all the "i"th elements but only certain
which I am indicating on a vector called "d".
See an example of my code below
2017 Jan 20
4
How to handle INT8 data
Well I definitely cannot use them as numeric because join is the main
reason of those identifiers.
About int64 and bit64 packages, it's not a solution, because I am
releasing a dataset for external users. I cannot ask them to install a
package in order to exploit them.
I have to be very carefull when releasing the data. If a user just use
read.csv functions, they by default cast the