Displaying 7 results from an estimated 7 matches for "oninetspeed".
2003 Apr 26
4
array to data.frame
Hi,
How i can convert a array in to data.frame structure?
For example,
vinteesete<-array(c(1,0,6,4,22,29,11,7,6,2,8,7,21,25,5,6,1,0,11,6,14,24,13,10,2,2,15,13,14,17,9,8,1,2,16,9,14,23,9,6,6,2,17,13,10,20,7,5),
dim=c(2,4,6), dimnames=list(grupo=c("I","II"),
opiniao=c("Ma","Regular","Boa","MBoa",),
2003 Apr 11
1
Pearson's Chi-squared Test
How i can perform a Pearson's Chi-squared Test in this data set:
| Outcome
-----------------+-----------+----------------------------------+
Treatment | Sex | None |Some | Marked | Total
-----------------+------------+--------+--------+-------------+
Active | Female | 6 | 5 | 16 | 27
2003 Apr 16
0
Discrete Multivariate Analysis (log-linear model)
I'm reading a old statistics book "MARVIN J. Karson (1982), Multivariate
Statistical Methods, The IOWA State University Press, Iowa". In the chapter
XI i can find some information about discrete multivariate analysis. This
chapter is restricted to an introduction to log-linear models for analysis of
multidimensional contingency tables. For example, in the log-linear model for
2005 Jan 22
0
evir package as.double problem
Dear Sirs,
I am working with a time series of financial data compiled in a csv file.
When i tried to apply the findthresh funtion of the evir package to that data I got the following error messages (the second after transforming the list in a vector):
"Error in as.double.default(x) : (list) object cannot be coerced to double"
"Error in as.double.default(as.vector(port)) :
2007 Oct 16
0
the new package "sets"
Dear Sirs
I can't try the package sets because I have a old mac system. Package
sets needs R = 2.6. I need to group some variables into a set of new
variables defined by a particular modality:
Example:
my.df = data.frame(var1=c(1,2,2,1,2,2,1,2), var2=c(2,2,1,1,2,2,1,1),
var3=c(1,2,2,1,1,1,1,2), var4=c(1,1,1,1,2,1,2,1))
I'm looking for a way to compute set1 and set2?
set1 = c(5,4) %
2007 Nov 03
1
Pearson residuals
Dear Sirs
What is the best aproximation to the standardized normal distribution:
necessidade = c("sem necessidade","com necessidade")
tipo =c("CE-1", "CE-2", "CE-3")
dados=c(20,34,44,69,9,3)
Tabela =cbind(expand.grid(list(Necessidade=necessidade, Tipo=tipo)),
count=dados)
Tabela.array=tapply(Tabela$count, Tabela[,1:2], sum)
ni =
2005 Apr 21
1
large matrix
Dear R-users
I need to convert a matrix with three columns in a new array with
multiple columns.
For example,
oldmatrix
1 4 5
1 54 52
1 9 43
2 32 5
2 54 6
2 76 6
3 54 54
3 543 7
3 54 6
newmatrix
5 5 54
52 6 7
43 6 6
if the first column have a new value then add a column to the new
matrix and the new[i,j] <- old[,3][i]
I write this code, but my initial matrix is very