Hi,
I have two ranks of labels (strings) representing user preferences of colors.
For instance, here is a simple example with 4 preferences for each user:
> rank1
[1] "red" "blue" "green" "black"
> rank2
[1] "white" "gray" "black" "blue"
How can I compute Kendall's Tau for this scenario?
T
Hi,
It seems that hist() has a buggy behavior when breaking over "days".
The bug can be reproduced in a few steps:
> d=data.frame(date=c("2009-01-01", "2009-01-02", "2009-01-02"))
> d$date=as.Date(d$date)
> d$date
[1] "2009-01-01" "2009-01-02" "2009-01-02"
> h=hist(d$date, "days")
> h$count
[1]
te my measures and see how each one impacts the
success rate.
My first idea was to have a histogram for each measure superimposed
with the % of success for each bar.
I am open to suggestions on how to address this.
Thanks again,
--
Sergio Nunes
2009/5/14 Jim Lemon :
> S. Nunes wrote:
>>
>>
Hi all,
I am doing some explorations using a dataset with the following
structure (id, value, flag).
For instance:
a, 2.2, 1
b, 3.0, 1
c, 2.9, 0
d, 3.1, 1
...
I have plotted a standard histogram using a simple command like:
hist(data$value)
My question:
I would like to superimpose a line ([0%-
Hi all,
I am doing some explorations using a dataset with the following
structure (id, value, flag).
For instance:
a, 2.2, 1
b, 3.0, 1
c, 2.9, 0
d, 3.1, 1
...
I have plotted a standard histogram using a simple command like:
hist(data$value)
My question:
I would like to superimpose a line ([0%-
orov-Smirnov test).
>
>
> --- On Tue, 17/6/08, S. Nunes <[EMAIL PROTECTED]> wrote:
>
>> From: S. Nunes <[EMAIL PROTECTED]>
>> Subject: [R] Measuring dispersion
>> To: [EMAIL PROTECTED]
>> Received: Tuesday, 17 June, 2008, 7:56 PM
>> Hi,
>>
>> I&
Hi,
I'm looking for a function to measure the dispersion of a set of
values ranging from 0 to 1.
This function should be 0 if all the values are evenly spaced within
the interval and it should be > 0 if values are clustered.
The more clustered the values are, the higher should the function be.
An
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