> version
_
platform x86_64-w64-mingw32
arch x86_64
os mingw32
system x86_64, mingw32
status Patched
major 3
minor 4.3
year 2017
month 12
day12
svn rev73903
language R
version.s
On 16/12/17 01:45, akshay kulkarni wrote:
dear Members,
Today something weird has happened on my R console. I have attached two
screenshots of the same vector in my R console but they differ.
Also one of my function returns negative values, even after double checking the
code, which should
Your times are formatted as
01.01.2001-24:00:00
but the default format is
2001-01-01 24:00:00
so you need to specify a format argument with as.POSIXct. Read about format
strings in ?strptime.
--
Sent from my phone. Please excuse my brevity.
On December 15, 2017 9:21:54 AM PST, lily li wrote
> On Dec 15, 2017, at 9:21 AM, lily li wrote:
>
> I use the method, df$Time = as.POSIXct(df$Time), but it has the warning
> message:
> Error in as.POSIXlt.character(x, tz, ...) :
> character string is not in a standard unambiguous format
That's because your date-time data is not in "%Y-%m-%d %
Be sure to keep the mailing list in the loop by using reply-all or equivalent
in your email program.
You can use the set.seed function with any fixed value before you call
functions that use randomness to create a reproducible output.
--
Sent from my phone. Please excuse my brevity.
On Decem
> On Dec 15, 2017, at 4:45 AM, akshay kulkarni wrote:
>
> dear Members,
>
>
>
> Today something weird has happened on my R console. I have attached two
> screenshots of the same vector in my R console but they differ.
>
>
> Also one of my function returns negative values, even after double
I use the method, df$Time = as.POSIXct(df$Time), but it has the warning
message:
Error in as.POSIXlt.character(x, tz, ...) :
character string is not in a standard unambiguous format
On Thu, Dec 14, 2017 at 1:31 PM, MacQueen, Don wrote:
> In addition to which, I would recommend
>
> df <- read.t
You can see if your function uses R's random number generator with
the following function.
isRandom <- function(expr) {
randomSeedBefore <- get0(".Random.seed")
force(expr)
!identical(randomSeedBefore, get0(".Random.seed"))
}
isRandom(1:10)
#[1] FALSE
isRandom(runif(3)>.4)
#[1] TRUE
I
You could try this and see what you get:
unique( yguii(ZEEL.NS, "o") - yguii(ZEEL.NS, "o") )
or maybe
table( yguii(ZEEL.NS, "o") - yguii(ZEEL.NS, "o") )
You showed two sets of output from the expression
yguii(ZEEL.NS, "o")
Were they done one right after the other? Or could ZEEL.NS h
Entry 250 is different between the two. However, I (we?) have no idea what that
function is so it might be using randomness as part of its calculation.
--
Sent from my phone. Please excuse my brevity.
On December 15, 2017 7:11:30 AM PST, Duncan Murdoch
wrote:
>On 15/12/2017 7:45 AM, akshay kul
Dear Akshay,
Where is the problem !!Two data set seems identical except one of them show 10
column and other showing 11 column on r console .
Regards.Tanvir AhamedStockholm, Sweden |
mashra...@yahoo.com
On Friday, December 15, 2017, 3:49:03 PM GMT+1, akshay kulkarni
On 15/12/2017 7:45 AM, akshay kulkarni wrote:
dear Members,
Today something weird has happened on my R console. I have attached two
screenshots of the same vector in my R console but they differ.
Those are function calls, you aren't just printing the same vector
twice, you're producing two
Hi Val—
Here is something similar to what Bill suggested.
wainb <- which(tdat$A %in% tdat$B)
tdat[c(length(tdat$D)-1,length(tdat$D)),c("D","E")] <-
tdat[wainb,c("B","C")]
HTH
EK
On Wed, Dec 13, 2017 at 4:36 PM, Val wrote:
> Hi all,
>
> I have a data frame
> tdat <- read.table(textConnection(
Lasse Kliemann writes:
> What is the rationale behind having both the delta and sd parameters for
> the power.t.test function? For the relevant noncentrality parameter, we
> only need the ratio delta/sd. If my effect size is given as Cohen's d,
> then I only got that ratio and not sd.
>
> As far
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