Displaying 5 results from an estimated 5 matches for "jour4lif".
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jour4life
2011 Jun 10
1
change value in one cell
Hello all,
I am wondering if there is a way to change the value of one cell in R. For
instance let's say I have a hypothetical data frame that looks like this:
Obs X Y Z
1 1 0 1
2 0 0 1
3 1 1 1
4 0 1 1
5 1 1 0
6 0 0 0
I would like to change the value of the 4th observation in the Y column from
1 to 0. It should look like this:
Obs X Y Z
1 1 0 1
2 0 0 1
3 1 1 1
4
2011 Jul 17
1
create multiple variables loop
Hello all,
I am trying to figure out how to construct several new variables without
having to write a code for each one. Specifically, I want to calculate
ratios for several variables. For instance, let's say I have:
df
male1990 male1995 male2000 male2005 female1990 female1995 female2000
female2005
10 11 15 17 15
14
2011 Aug 31
1
looping by grouping variable
Hello all,
I hope something is not already posted regarding this exact problem I am
trying to solve. I've read through the forums and previous postings and am
still confused as to how to approach this. Basically, what I am trying to do
is construct variables that utilizes an average of a variable from a
grouping, or higher order, variable. For instance, in my dataset I have
variables, with
2011 Nov 13
4
identify duplicate from more than one column
Hi all,
I've searched everywhere to try to find out how to do this and have had no
luck. I am trying to construct identifiers for couples in a dataset.
Essentially, I want to identify couples using more than one column as
identifiers. Take for instance:
obs unit home z sex age
1 015029 18 1 1 053
2 015029 18 1 2 049
3 015029 01 1 1 038
4 015029 01 1
2012 Apr 15
0
correct standard errors (heteroskedasticity) using survey design
Hello all,
I'm hoping someone can help clarify how the survey design method works in
R. I currently have a data set that utilized a complex survey design. The
only thing is that only the weight is provided. Thus, I constructed my
survey design as:
svdes<-svydesign(id=~1, weights=~weightvar, data=dataset)
Then, I want to run an OLS model, so:
fitsurv<-svyglm(y~x1+x2+x3...xk,