calculate_wtd_trajectories_hh2: Calculate the ST-STIPW based on for graphical viewing as well...
In swihart/wfpca: weighted functional prinicpal components analysis
Description
Usage
Arguments
Value
Examples
Description
Takes a calculate_stipw(,na.action="omit") object and calculates the weighted trajectories
where the weights are standardized (within observation time) STIPWs so that
the (regular, unweighted) mean of the weighted trajectories is the same as the
weighted mean of the original trajectories.
Names are hard coded, so stick
to script in the examples.
Usage
1
calculate_wtd_trajectories_hh2(data_in = NULL)
Arguments
data_in
an object returned from calculate_stipw()
Value
a dataset similar to data_in with stipw in columns; and potentially fewer rows or NA-filled rows
for induced censoring.
Examples
1
2
3
4
5
6
7
8
9
10
11
d<-prep_data()
head(d)
over_samp_mat<-sample_data(d,1000)
with_ses <- calculate_ses(over_samp_mat)
long <-make_long(with_ses)
head(long)
censored <- apply_censoring(long)
head(censored,18)
observed_with_stipw <- calculate_stipw(censored,"omit")
wtd_trajectories <- calculate_wtd_trajectories(observed_with_stipw)
head(wtd_trajectories)
swihart/wfpca documentation built on May 30, 2019, 10:38 p.m.
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Description Usage Arguments Value Examples
Description
Takes a calculate_stipw(,na.action="omit") object and calculates the weighted trajectories where the weights are standardized (within observation time) STIPWs so that the (regular, unweighted) mean of the weighted trajectories is the same as the weighted mean of the original trajectories. Names are hard coded, so stick to script in the examples.
Usage
1 | calculate_wtd_trajectories_hh2(data_in = NULL)
|
Arguments
data_in |
an object returned from calculate_stipw() |
Value
a dataset similar to data_in with stipw in columns; and potentially fewer rows or NA-filled rows for induced censoring.
Examples
1 2 3 4 5 6 7 8 9 10 11 | d<-prep_data()
head(d)
over_samp_mat<-sample_data(d,1000)
with_ses <- calculate_ses(over_samp_mat)
long <-make_long(with_ses)
head(long)
censored <- apply_censoring(long)
head(censored,18)
observed_with_stipw <- calculate_stipw(censored,"omit")
wtd_trajectories <- calculate_wtd_trajectories(observed_with_stipw)
head(wtd_trajectories)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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