Hi
Dear Jean
Thanks a lot for your help.
The reason I did not provide producible code is that my work started
with
reading in some large csv files, e.g. the data is not created by myself.
But the data is from the same data provider so I would expect to
receive
data in exactly same
Try:
options(scipen = 9)
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Hi,
This might also helps.
a-c(2.0e+9,2.1e+9)
is.numeric(a)
#[1] TRUE
format(a,sci=FALSE)
#[1] 20 21
A.K.
- Original Message -
From: Petr PIKAL petr.pi...@precheza.cz
To: HJ YAN yhj...@googlemail.com
Cc: r-help@r-project.org
Sent: Tuesday, August 7, 2012 4:11 AM
Hi,
Try these also:
a-c(2.0e+9,2.1e+9)
is.numeric(a)
[1] TRUE
formatC(a,format=fg)
#[1] 20 21
formatC(a,format=f)
#[1] 20. 21.
formatC(a,format=f,digits=0)
#[1] 20 21
A.K.
- Original Message -
From: HJ YAN
Dear R users
I read two csv data files into R and called them Tem1 and Tem5.
For the first column, data in Tem1 has 13 digits where in Tem5 there are 14
digits for each observation.
Originally there are 'numerical' as can be seen in my code below. But how
can I display/convert them using
HJ,
You don't provide any reproducible code, so I had to make up my own.
dat - data.frame(a=letters[1:5], x=c(20110911001084, 20110911001084,
20110911001084, 20110911001084, 20110911001084),
y=c(2.10004e+12, 2.10004e+12, 2.10004e+12, 2.10004e+12,
2.10004e+12))
In my example,
Dear Jean
Thanks a lot for your help.
The reason I did not provide producible code is that my work started with
reading in some large csv files, e.g. the data is not created by myself.
But the data is from the same data provider so I would expect to receive
data in exactly same data format.
I
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