Displaying 8 results from an estimated 8 matches for "ngayee".
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gayle
2002 Dec 31
3
Probit Analysis
Hello all,
I have a very simple set of data and I would like to analyze them with
probit analysis.
The data are:
X Event Trial
100 8 8
75 8 8
50 6 8
25 4 8
10 2 8
0 0 8
I want to estimate the value of X that will give a 95% hit rate
(Event/Trial) and the corresponding
95% CI. Anyone can offer some help? Thanks!!
-
2002 Sep 13
3
subset
Dear list,
I have a simple question. If I need to run linear regression on a subset of
the dataset, will
the following two commands give the same output:
lm(y ~ as.factor(x1) + as.factor(x2), data, subset = z==Z[1])
and
lm(y ~ as.factor(x1) + as.factor(x2), data[data$z==Z[1],] )
I have got different results running the two commands. Am I missing
something here, or it
there a bug on the
2002 Jun 14
2
combination of different vector values
Hi,
Thanks in advance for the help.
I have a few vectors and I need to get all the combinations of the vector
values.
Normally I would use a few for-loops to do that.
e.g x1_c(1,3,5)
x2_c(2,5,6)
for (i in x1) {
for (j in x2) {
...
}}
My problem is that I don't know how many vectors there are ahead of time,
so
I don't know how many for-loops I need. Any
2002 Sep 10
3
print
Hi all,
Suppose I have a vector
Fruits <- c('Apple','Orange','Pear','Banana','Mango')
I want to print the statement
"The fruits in the basket are: Apple, Orange, Pear, Banana, Mango"
If I do:
print(paste('The fruits in the basket are:',Fruits))
The output is:
[1] "The fruits in the basket are: Apple" "The fruits in
2002 Dec 17
1
Breslow Day Test
Hello everyone,
Does anyone know if I can do Breslow Day Test for the homogeneity of odds
ratio in R?
Thanks!
- Jacqueline
2002 Mar 20
1
Wilcoxon Rank Sum Test
How does R compute the p-value in the Wilcoxon Rank Sum Test?
If I have the test statistics, can I get the p-value using the function
pwilcox?
Thanks
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2003 Feb 13
1
k- means cluster analysis
Hi all,
I am trying to run the k-means cluster analysis using the function kmeans
in the package cluster.
The data are:
x = c(-0.26, -0.23, -0.05, -0.20, 0.30, -0.84, -0.10, -0.12, 0.10, -0.31,
-0.19, 0.18, -0.26,
-0.23, -0.37, -0.23)
I've got two different solutions when I ran this function over a few times:
kmeans(x, centers=2)
The first solution gives the following:
$cluster
[1]
2002 Sep 09
1
reshape
Hi,
I have a problem using the function 'reshape' for the following dataset:
input:
X Y Z T.U.1 T.U.2 T.V.1 T.V.2
1.00 1.00 A 24.94 24.74 34.65 35.33
1.00 3.00 A 26.03 25.87 25.76 26.12
1.00 1.00 B 24.76 24.63 34.34 34.48
1.00 3.00 B 26.15 25.98 25.96 25.66
2.00 1.00 A 24.40 24.26 34.55