Dear WizaRds,
After consulting different sources I am still unable to understand the
correct use of return() in nested functions. To illustrate the problem:
f - function(x,y,type){
est1-function(x,y){
z=x+y
out(x,y,z)}
est2-function(x,y){
z=x*y
Dear Wizards -
Thank you so much for your help. That was exactly what I was looking
for. Now, I have been working on conditional selection of columns in a
data frame. My goal is to calculate the total revenue per sales
representative per status in a table. I have come to a complete
Dear WizaRds!
A trivial question indeed on selecting subsets in data frames. I am
sorry. Unfortunately, I did not find any helpful information on the
introduction, searched the help archive and read in introductory books.
Please help:
I want to select column KB which is read via read.csv2 as
Dear WizaRds,
I tried to construct a two-phase sampling design in Survey just the way
I hoped understood in Vienna - I was wrong. I think I am too stupid to
create the correct subset for phase 2. Phase1: Sample 1000 parts with 80
defective. Phase2: Sample 100 parts out of these 1000
Dear WizaRds, dear Thomas,
First of all, I want to tell you how grateful I am for all your
support. I wish I will be able to help others along one day the same way
you do. Thank you so much. I am struggling with a multistage sampling
design:
library(survey)
multi3 -
Dear WizaRds,
I would like to create a 3d-plot with persp(). I sampled 17 points
with xyz-coordinates (real-life example!), representing the peaks of the
whole plane with zero coordinates x=3,y=3,z=3. My intention is to show
which entries are above or below the zero level with persp() on a
Dear WizaRds,
having met some of you in person in Vienna, I think even more fondly
of this community and hope to continue on this route. It was great
talking with you and learning from you. Thank you. I am trying to work
through an artificial example in post stratification. This is my
Dear WizaRds,
I am struggling with the use of twophase in package survey. My goal
is to compute a simple example in two phase sampling:
phase 1: I sample n1=1000 circuit boards and find 80 non functional
phase 2: Given the n1=1000 sample I sample n2=100 and find 15 non
functional. Let's
Dear WizaRds,
although this might be a trivial question to the community, I was
unable to
find anything solving my problem in the help files on CRAN. Please help.
Suppose I have 4 variables and want to use all possible combinations:
1,2
1,3
1,4
2,3
2,4
3,4
for a further kmeans
Dear WizaRds,
My goal is to program the VS-KM algorithm by Brusco and Cradit 01 and I
have
come to a complete stop in my efforts. Maybe anybody is willing to follow my
thoughts and offer some help.
In a first step, I want to use a single variable for the partitioning
process.
Dear WizaRds,
I have been trying to compute the adjusted Rand index as by Hubert/
Arabie, and could not correctly approach how to define a partition
object as in my last request yesterday.
With package fpc I try to work around the problem, using my original data:
mat - matrix(
Dear WizaRds,
I am trying to compute the (adjusted) Rand Index in order to comprehend
the variable selection heuristic (VS-KM) according to Brusco/ Cradit
2001 (Psychometrika 66 No.2 p.249-270, 2001).
Unfortunately, I am unable to correctly use
cl_ensemble and cl_agreement (package: clue).
linear least-squares.
It also seems the nls model tries to find ten different gammas, but
I want only one single gamma parameter for the function. I appreciate
your help and support. Thank you.
sol lucet omnibus
Mark Hempelmann
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Mark Hempelmann
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Dear WizaRds,
I am struggling to compute correctly a cluster sampling design. I want
to do one stage clustering with different parametric changes:
Let M be the total number of clusters in the population, and m the
number sampled. Let N be the total of elements in the population and n
Dear WizaRds,
Working through sampling theory, I tried to comprehend the concept of
stratification and apply it with Survey to a small example. My question
is more of theoretic nature, so I apologize if this does not fully fit
this board's intention, but I have come to a complete stop in my
sorry if this problem was addressed
earlier.
R forever!
viele grüße
mark hempelmann
universität bielefeld
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