Displaying 20 results from an estimated 500 matches similar to: "frequency table?"
2011 Mar 10
2
within group sequential subtraction
Hi Everyone,
I would like to do sequential subtractions within a group so that I know the
time between separate observations for a group of individuals.
My data:
data <- structure(list(group = c("IND1", "IND1", "IND2",
"IND2", "IND2", "IND3", "IND4", "IND5",
"IND6", "IND6"), date_obs =
2009 Sep 11
2
Accumulating results from "for" loop in a list/array
Dear R users,
I would like to accumulate objects generated from 'for' loop to a list or
array.
To illustrate the problem, arbitrary data set and script is shown below,
x <- data.frame(a = c(rep("n",3),rep("y",2),rep("n",3),rep("y",2)), b =
c(rep("y",2),rep("n",4),rep("y",3),"n"), c =
2011 Dec 04
1
similarity matrix
Hello R-users,
I've got a file with individuals as colums and the clusters where they occur
in as rows. And I wanted a similarity matrix which tells me how many times
each individual occurs with another. My eventual goal is to make
Venn-diagrams from the occurence of my individuals.
So I've this:
cluster ind1 ind2 ind3 etc.
1 0 1 2
2 3 0 1
3
2011 Dec 03
1
pivot table help
Hello R-users,
I've got a huge table with about 20.00 rows and 50 columns. The table now
has headers as Members1, Members2 etc. My data are 8 different individuals.
And I've got a column with clusters. So each individual belongs to different
clusters and can occurs multiple times within a cluster (that's the reason
that there can be more than 8 members). I want a presence/ absence
2011 Mar 09
2
Cleaning date columns
Hi Everyone,
I have the following problem:
data <- structure(list(prochi = c("IND1", "IND1", "IND1",
"IND2", "IND2", "IND2", "IND2", "IND3",
"IND4", "IND5"), date_admission = structure(c(6468,
6470, 7063, 9981, 9983, 14186, 14372, 5129, 9767, 11168), class = "Date")),
.Names =
2009 Aug 09
1
problem adding columns to matrix
Hi all, i purchased a copy of the book Morphometrics with R by Springer.
at the end of each chapter there are exercises to train what you just
read and (hope) learned...
so i have this problem:
Define a hypothetical data frame containing five measurments normally
distributed(size,head,pectoral,area,weight) for four individuals
(named ind1, ind2, etc). ADD A COLUMN corresponding to the
2011 Aug 10
2
choosing selective data with permutations
Hello,
I am a R beginner and hoping to obtain some hints or suggestions about
using permutations to sort a data set I have.
Here is an example dataset:
Ind1 11 00 12 15 28
Ind2 21 33 22 67 52
Ind3 22 45 21 22 56
Ind4 11 25 74 77 42
Ind5 41 32 67 45 22
This will be read into a variable using read.table. What I want to do
is permute these individuals and every
2003 Jun 05
1
Logical vectors
Hi everybody,
just a quick question that drives me crazy:
Is it possible to "join" 2 logical vectors ?
i.e.
x<-4
ind <- 1:19200
pin <- c(0, rep(400, 48) * (1:48))
ind1<-((pin[j] + 1) <= ind) & (ind <= pin[j + 2])
ind2<-((pin[j+x] + 1) <= ind) & (ind <= pin[j+x + 2])
ind2 and ind1 give the right TRUE index
#but I would like something like that
2011 Dec 05
1
Subsetting a data frame
Hi R users,
I really need help with subsetting data frames:
I have a large database of medical records and I want to be able to match
patterns from a list of search terms .
I've used this simplified data frame in a previous example:
db <- structure(list(ind = c("ind1", "ind2", "ind3", "ind4"), test1 = c(1,
2, 1.3, 3), test2 = c(56L, 27L, 58L,
2010 Jan 17
3
enty-wise closest element
Dear R-users,
i have a simple problem maybe, but i don't see the solution. i want to
find the entry-wise closest element of an vector compared with another.
ind1<-c(1,4,10)
ind2<-c(3,5,11)
for (i in length(ind2):1)
{
print(which.min(abs(ind1-ind2[i])))
}
for ind2[3] it should be ind1[3] 10, for ind2[2] it should be ind1[2] 4
and for ind2[1] it should be ind1[1] 1. but with the
2011 Oct 05
2
Subsetting a data frame with multiple values and exclusions.
Hi all,
I realise that the convention is to provide a working example of my problem
but the data are of a sensitive nature so I'm not able to do that in this
case.
I need to query a database for multiple search terms:
db <- structure(list(ind = c("ind1", "ind2", "ind3", "ind4"), test1 = c(1,
2, 1.3, 3), test2 = c(56L, 27L, 58L, 2L), test3 =
2008 Oct 29
1
Subsetting data in a loop
I need some help with sub-setting my data. I am trying to divide a data frame into multiple data frames based on the year collected, and stored in a list with each new data frame labeled with "year X" where X is the year the data was collected. When I run my current code I get nine error messages stating
"In one_year[name] <- myear : number of items to replace is not a
2010 May 03
3
how to rewrite this for loops in matrix form without loop
x0=rnorm(100)
y0=rpois(100,3)+1
ind=as.data.frame(table(y0))
ind1=ind[,1]
ind2=ind[,2]
phi=NULL
for (i in 1:length(ind2)){
phi[i]=sum(x0[y0==ind1[i]])/ind2[i]
}
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2006 Mar 09
1
HCLUST subroutine question -- FORTRAN DO loops
Shown below is most of the FORTRAN subroutine named HCLUST.
My question concerns the DO loop labeled as '10'. What happened to its
CONTINUE statement? I will assume that after FLAG(I)=.TRUE. is executed that
control returns to DO 10 I=1,N. Am I correct?
Dave
----------------------------
C Initializations
C
DO 10 I=1,N
C We do not initialize MEMBR in order to be able to
2009 Jul 09
1
Converting indices of a matrix subset
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA1
I have two matrices:
> m1 <- matrix(1,4,4)
> m1
[,1] [,2] [,3] [,4]
[1,] 1 1 1 1
[2,] 1 1 1 1
[3,] 1 1 1 1
[4,] 1 1 1 1
> m2 <- matrix(0,3,3)
> diag(m2) <- 1
> m2
[,1] [,2] [,3]
[1,] 1 0 0
[2,] 0 1 0
[3,] 0 0 1
I want to get indicies from m2
2006 Feb 10
1
precision of std. error in summary
Hi,
I'm doing robust regression with the following command
rlm(dip~ind1+ind2-1,method="M",psi=psi,maxit=1000,acc=1e-15)
now when I ask for a summary
summary(rlm(dip~ind1+ind2-1,method="M",psi=psi,maxit=1000,acc=1e-15))
I get
Coefficients:
Value Std. Error t value
ind1 -0.0377 0.0000 -24203.1415
ind2 1.0370 0.0000 668735.7195
taht is
2015 Nov 20
1
Good practice for naming classes, builders, attributes, getters/setters for object composition
Hey everyone,
I am developing a package and I am wondering if there is a good practice
for naming classes, builders, attributes getters and setters when dealing
with object composition. I know that it is usually a good practice to give
to the builder the same name as the class and, if possible, to avoid to use
upper case letters. My problem is that, when I build an object containing
an other
2005 Jan 17
2
Omitting constant in ols() from Design
Hi!
I need to run ols regressions with Huber-White sandwich estimators and
the correponding standard errors, without an intercept. What I'm trying
to do is create an ols object and then use the robcov() function, on the
order of:
f <- ols(depvar ~ ind1 + ind2, x=TRUE)
robcov(f)
However, when I go
f <- ols(depvar ~ ind1 + ind2 -1, x=TRUE)
I get the following error:
Error in
2010 Jan 20
7
Data Manipulation
Dear All,
I would like to to group the Ticker by Industry and create file names from
the
Industry Factor and export to a txt file.
I have tried the folowing
ind=finvizAllexETF$Industry
ind is then "Aluminum" "Business Services" "Regional Airlines"
ind2=gsub(" " ,"",ind)
ind3
[1] "Aluminum"
2017 Nov 18
0
Using cforest on a hierarchically structured dataset
Hi,
I am facing a hierarchically structured dataset, and I am not sure of
the right way to analyses it with cforest, if their is one.
- - BACKGROUND & PROBLEM
We are analyzing the behavior of some social birds facing different
temperature conditions.
The behaviors of the birds were recorder during many sessions of 2 hours.
Conditional RF (cforest) are quite useful for this analysis