Hi,
I thank you all who answered to my question. I think I learned a lot although
there still remain things and concepts I have to ruminate. To the questions
about the plots:
In this case, I have segmented music into so-called pitch-class sets and
further transformed them to 'set classes',
Dear R-users,
I want to check if certain values are from random distribution, that includes
values between 0-1. So, it is not really normal even though shapiro.test says
it is highly normal... Can I do something like this and think that the values
given are right. z.test is from package
On Apr 16, 2010, at 12:11 PM, Atte Tenkanen wrote:
Dear R-users,
I want to check if certain values are from random distribution, that
includes values between 0-1. So, it is not really normal even though
shapiro.test says it is highly normal... Can I do something like
this and think that
Several points:
1. The Shapiro test does not tell you that something is normal or highly
normal, only that you don't have enough evidence to disprove that the data came
from a normal population (powered for a certain type of deviation from
normality).
2. The z.test function is intended to be
So ..
are you trying to figure out whether your data hasa substantial number of
outliers that call into question the adequacy of the normal distro fro your
data?
If this is the case, note that you cannot individually check the values (as you
are doing) without taking into account of the
It would help if you could give more detail on what you are trying to
accomplish. You can get boundaries from a dataset using the quantile function,
but it is not clear if that is really what you want or not. Asking about a
sample size of 30 implies that you want to do some normal based
Thanks,
OK. My question is if there is any reasonable way to find p=0.05 boundaries for
such a random distribution? Unfortunately I'm not statistician and thus I'm not
sure, if even this question makes sense... Should we always consider samples
of, say, more than 30 individuals?
Atte Tenkanen
Hi,
In fact, my original intention is to show that the measurings of the musical
data are not random. Here I have a measurement from a composition.
http://www.ag.fimug.fi/~Atte/Comp.pdf
and here one random composition which I have used, among many others, in order
to produce that
On Apr 16, 2010, at 3:39 PM, Atte Tenkanen wrote:
Hi,
In fact, my original intention is to show that the measurings of the
musical data are not random. Here I have a measurement from a
composition.
http://www.ag.fimug.fi/~Atte/Comp.pdf
and here one random composition which I have used,
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