Hi David,
Thanks for the prompt answer.
In this file, I have cut the data to the first 15 columns.
Here is the code:
t2 <- read.csv('Test2.csv', sep=",", header=TRUE)
> Test2[2,2]
[1] 18.72
1994 Levels: 0.24 0.33 0.49 0.53 0.65 0.67 0.72 0.76 0.88 0.9 0.94 ... 98.88
> Test2[2,2]+1
[1] NA
Warning message:
In Ops.factor(Test2[2, 2], 1) : + not meaningful for factors
The funny thing is that the same commands work normally for a shorter matrix
â just the 1st 6 rows and columns.
Which led me to think it had to do with the blank cells.
But typing :
Test2 <- read.csv('Test2.csv', sep=",", header=TRUE, na.strings=" ")
does not help.
Your help is infinitely appreciated.
--------------------------------------------
Vincent Deluard
<mailto:vincent.delu...@trimtabs.com> vincent.delu...@trimtabs.com
Global Equity Strategist, CFA Charter Award Pending
TrimTabs Investment Research
40 Wall Street, 28th Floor
New York, NY 10005
Phone: (+1) 646-512-5616
From: David Winsemius [via R]
[mailto:ml-node+2124710-750256529-90...@n4.nabble.com]
Sent: Monday, May 03, 2010 6:35 PM
To: vincent.deluard
Subject: Re: / Operator not meaningful for factors
On May 3, 2010, at 6:22 PM, vincent.deluard wrote:
>
> Hi there,
>
> This will sound very stupid because I just started using R but I see
> you had
> similar problems.
>
> I just loaded a very large dataset (2950*6602) from csv into R. The
> format
> is ticker=row, date=column.
Not a particularly precise description of what is in the data.
> Every time I want to compute basic operations, R returns "In
> Ops.factor: not
> meaningful for factors"
Code .... we want to see code. All of it.
>
> I believe it is because R does not read the data as numbers
Probably true. Were they dates or numbers?
> but I am not
> sure. Can anybody help?
I generally read in my data with read.table( ,,,,, as.is=TRUE,
stringsAsFactors=FALSE, ....) and then convert the columns that I know
should be numeric with as.numeric. If all of your columns should have
been numeric, you might use the colClasses argument, perhaps along
these lines:
rd.obj <- read.csv(file="something", colClasses= rep("numeric",
<number-of-columns>) )
--
David Winsemius, MD
West Hartford, CT
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