Displaying 20 results from an estimated 2000 matches similar to: "Help needed: Fraction for Histogram > 1 ???"
2008 Mar 23
2
ggplot2 - legend for fill coulours
Dear All,
I am trying to build a stacked bar plot, where I define the colours to use.
I have asked this before, and I was using a solution in
http://thread.gmane.org/gmane.comp.lang.r.general/100649/focus=100673
(thanks, Thierry).
However, it looks this works only when the data are in the sequence
of the levels in the factor defining the fill colours. When the
sequence is different, the
2006 Oct 12
9
[PATCH] an obvious fix to PIC IO intercept
an obvious fix to PIC IO intercept.
In PIC IO, address from send_pio_req is physical address already.
Signed-off-by: Xiaohui Xin <xiaohui.xin@intel.com>
Signed-off-by: Xiaowei Yang <xiaowei.yang@intel.com>
Signed-off-by: Xin Li <xin.b.li@intel.com>
_______________________________________________
Xen-devel mailing list
Xen-devel@lists.xensource.com
2009 May 20
2
minmun p-value for wilcox.test and correlation
I have a stupid question on how to get the real p-values for wilcox.test and
correlation. the minmun can be reached is 2.2E-16 using the R version
2.6.2. I do not think it is the R version causing this but other issues.
Any help is highly appreciated.
Charles
--
View this message in context: http://www.nabble.com/minmun-p-value-for-wilcox.test-and-correlation-tp23637568p23637568.html
Sent
2012 Nov 30
3
(no subject)
Hello R usuer,
The code given below superimposes a pie diagram on another plot
containing some points. However, I would like to center the pie
diagram on the xy location on the plot, but not on the center. is
there any way to re-center pic diagram.
Any suggestion or better alternative are highly appreciated.
Thank you in advance for your help.
Regards,
Bibke
library(visualFields)
library(car)
2008 Jul 20
2
fill in area between 2 lines with a color
Hi - I'd like to have the area between 2 lines on a x-y plot be filled with
grey, but I haven't had
any luck using polygon or rect. (In reality, I'd like to do this for twice
- once for a low group and once for a high group - and then I'd like to plot
a set of data points for a 'normal' group together with these 2 grey areas.)
Here's a simple example of the 2 lines:
2005 Feb 18
5
Asterisk GUI
Hello,
I am trying to setup an Asterisk GUI with the help of astman(please visit
http://astman.sourceforge.net/am-user-guide.html).
I have installed astman and currently assessing my GUI using;
http://ipaddress-of-asteriskbox/cgi-perl/am-main.pl
I am trying to get the menu options in my GUI to work but to no avail.
Currently my parameters are set to;
Asterisk Install Directory:
2011 Aug 16
4
a question about lm on t-test.
Hi all:
I have a question about lm on t-test.
data(sleep)
I wanna perform t-test to test the difference between the 2 groups:
I can use:
t.test(extra~group)
The t.test result shows that:t = -1.8608; mean1=0.75,mean2=2.33
But I still wanna use:
summary(lm(extra~group))
Intercept=0.75,which is mean1,just the same as t.test.
group2=1.58 means the difference of the 2 groups,so
2012 Apr 24
2
Combined grouped and stacked bargraph
Dear R list,
I am having some trouble drawing a bar-graph with two groups, both of
which are stacked.
A sample of my data (IUCN and national conservation status for marine
and terrestrial species) look like this:
Status
IUCN Terrestrial
IUCN Marine
National CS Terrestrial
National CS Marine
NE
168
69
16
69
LC
41
6
148
6
NT
5
4
7
4
VU
4
2
7
2
EN
4
2
4
2
CR
1
2012 Apr 25
1
FW: Combined grouped and stacked bargraph
Dear R list,
It appears that my request from yesterday got a bit garbled. I have
tried to rephrase and retype it - please let me know if you can help me
- I am having some trouble drawing a bar-graph with two groups, both of
which are stacked.
I would like to plot the conservation status according to two
classifications (i.e. my groups - IUCN status and national status), and
for each of those
2009 Dec 10
1
Detectar outliers en un gráfico de dispersión
Hola amigos, esta es mi primera duda, espero que no sea demasiado fácil.
Tengo unos datos de dos variables y quiero mostrar recta de regresión
y valor de correlación
serie0 <- c(0.651, 0.712, 0.614, 0.645, 0.559, 0.647, 0.642, 0.534,
0.616, 0.621, 0.623)
serie1 <- c(0.572, 0.641, 0.565, 0.596, 0.518, 0.604, 0.602, 0.501,
0.58, 0.589, 0.596)
data <- cbind(serie0, serie1)
colnames(data)
2006 Sep 27
3
t-stat Curve
Number of subjects = 25
Mean of Sample = 77
Standard Deviation (s) = 12
sem = 2.4
df = 24
The claim is that population mean is less than 80
* > 80
So our H0 (null hupotheis) is * > 80
> qt(.95,24)
[1] 1.710882
> qt(0.05, 24)
[1] -1.710882
tstat = -1.25 on t24 falls between 1.711 (.95,24) and *1.711 (.005,24)
How Could I sketch t curve for the above data where my * would be at the
2012 Feb 07
3
Lattice - different axis length
Dear all,
I have a question about the lattice package, more specifically about the
control of the x-axis length in the different panels. I use the following
code to make the stacked barchart:
barchart(country ~ climatechangefocalpoint + meteorologyservice +
adaptationorvulnerability + cdmcarbonmarkets + energy +
aviationmaritimetransport + forestry + pressofficer|period, data=graph5,
2010 May 01
1
bag.fraction in gbm package
Hi, Dear Greg,
Sorry to bother you again.
I have several questions about the 'gbm' package.
if the train.fraction is less than 1 (ie. 0.5) , then the* first* 50% will
be used to fit the model, the other 50% can be used to estimate the
performance.
if bag.fraction is 0.5, then gbm use the* random* 50% of the data to fit the
model, and the other 50% data is used to estimate the
2005 May 25
3
Rounding fractional numbers to nearest fraction
Hi all,
I've got a matrix of fractional data that is all positive and greater than
zero that I would like to "loosely" classify, for lack of a better word. It
looks something like this :
1.07 1.11 1.27 1.59 0.97 0.76
2.23 0.98 0.71 0.88 1.19 1.02
What I'm looking for is a way to round these numbers to the nearest 0.25,
i.e. the above matrix would be
2006 Feb 17
8
Atom
Any plans for using Atom with rails. I saw the "Typo" project is
using MoveableType, Blogger, ... but not Atom.
It seems Atom is not part of ActionWebService.
Has anyone done any work with Atom and Rails ?
Thanks for your answers,
Gaspard
2011 Jun 28
1
About the covariant
Hi all,I have some questions about the covariants of regression.
My target: To explore the trend of CD4 level through a period of time.
Response variable: CD4 count
Explanatory variable:time
Also, the demology information is available,such as gender,occupation,income
level...
Q1,Are these variables of demology information called covariant?
Q2,How can I correct the impact of
2011 Mar 24
1
fraction with timelag
Dear r-help,
I'm having this DF
df <- data.frame(id = 1:6,
xout = c(1234, 2134, 234, 456, 324, 345),
xin= c(NA, 34,67,87,34, NA))
and would like to calculate the fraction (xin_t / xout_t-1)
The result should be:
# NA, 2.76, 3.14, 37.18, 7.46, NA
I am sure there is a solution using zoo... but I don't know how...
Thanks for any help!
Patrick
2005 Sep 18
1
trimmed mean in R seems to round the trimming fraction
subject: trimmed mean in R seems to round the trimming fraction
to r-help at stat.math.ethz.ch.
Consider the following example of 10 numbers. 10% trimmed mean is correct
but you can see that the result is the same for many trimming fractions
till 0.20!
For example 13% trimmed mean should use interpolation of second and
eighth ordered observation. R does not seem to do this.
The correct 13%
2012 Mar 11
2
Matrix negative fraction power
Dear list,
I understand that to raise matrix A to power (-1/2) we should use something
like this:
eigen(A)$vectors%*%diag(1/sqrt(eigen(A)$values))%*%t(eigen(A)$vectors)
[from previous discussions:
http://r.789695.n4.nabble.com/matrix-power-td900335.html]
But this will only do it for negative sqrt of the matrix not for other
fraction powers like (-3/2).
Seeing that these things be can done
2011 Dec 13
8
How to compute 95%CI for OR from logistic regression?
Hi all:
My data has 3 variables:
age(3levels : <30y=1 30-50y=2, >50y=3)
gender(Male=0, Female=1)
CD4 cell count(raw lab measurement)
y(1:death 0:alive)
I perform logistic regression to find out the factors that influence y.
result<-glm(y ~ factor(age) + factor(gender) + CD4,family = binomial)
>From the result,I can get OR(Odds Ratio) of gender via exp(Estimate of Female,