Questions tagged [longitudinal]
Data from studies or processes with multiple observations over time. Econometrics is a typical topic where such data would be collected and analyzed. Proper analysis will take into account auto-correlation and cross-correlation.
199
questions
11votes
1answer
740views
Implementing Longitudinal Random Forest with LongituRF package in R
I have some high dimensional repeated measures data, and i am interested in fitting random forest model to investigate the suitability and predictive utility of such models. Specifically i am trying ...
4votes
3answers
76views
Reorganize multiple variables based on date variable in R
If I have a dataset that has scores from the same measure collected at different time points, how can I organize those dates/times so they represents a timepoint after a certain date? Is this possible ...
3votes
2answers
193views
Within-group operations in R (not rolling sum)
I have a dataset comprised of students (id) and the grade they where in every year:
library(data.table)
set.seed(1)
students <- data.table("id" = rep(1:10, each = 10),
"year" = rep(...
3votes
1answer
474views
How to calculate nonlinear (binary) Fixed-Effects Logit for Longitudinal/Panel Data?
I'm trying to estimate child work based on a lagged variable on children's school aspirations.
I'm deciding whether I should use glm or clogit to run my models (need fixed effect logits). When I run ...
3votes
2answers
107views
Carry Forward Data for Each Case
In SPSS, how do I pull forward longitudinal data to blank cells for each id?
Example:
ID Time Gender
1 1 M
1 2 .
1 3 .
2 1 F
2 2 .
2 3 .
3 1 .
3 2 F
3 3 .
How ...
3votes
1answer
36views
R: How to delete ID from a list of multiple strings in a longitudinal format
I had an earlier post regarding how to delete ID if any of the rows within ID contain certain strings (e.g., A or D) from the following data frame in a longitudinal format. These are R code examples ...
3votes
2answers
268views
(Longitudinal data) Create new variable with last value for each ID
I am working with a longitudinal dataset with ID's, timestamps, and values. I would like to create a new variable for each individual that saves the value for the last timestamp for that individual in ...
3votes
2answers
130views
How to do longitudinal analysis for 2x2x2 design in R?
I have a dataset with the following variables for the treatment (nutrition, fertilizer), that records algal growth in water across time (t0, t1...t10). In series with fertilizer marked as "nitrogen" , ...
3votes
1answer
58views
Visualisation of longitudinal meta-analysis in R
I am trying to create a line graph in R that plots longitudinal data as part of a meta-analysis. I am looking to plot age on the x axis, with volume on the y axis. Some studies have up to 4 timepoints....
3votes
1answer
425views
why do results of clogit and bife function (both in R) differ?
I like to calculate a logistic fixed effect panel regression (conditional maximum likelihood) in R and get predicted values and/or average marginal effects.
I found two functions: bife and clogit ...
3votes
0answers
526views
Fit curve in spaghetti plot
For descriptive plots in R studio, I would like to fit a regression curve in my spaghetti plot. To create the spaghetti plot I used:
library(lattice)
GCIP <- data_head$GCIP
time_since_on &...
3votes
1answer
435views
estimate a repeated measures random effects model with a nested structure using `plm()`
Is it possible to estimate a repeated measures random effects model with a nested structure using plm() from the plm package?
I know it is possible with lmer() from the lme4 package. However, lmer() ...
2votes
2answers
52views
R: To convert wide dataframe into longitudinal format with more than more than two columns [duplicate]
I have dataframe like the following:
> head(n)
# A tibble: 6 x 23
`Record ID of REGN DATA` Pain_1 Pain_2 Redness_1 Redness_2 Swelling_1 Swelling_2
<dbl> <chr> &...
2votes
2answers
40views
Dropping subsequent observations after the occurrence of an event in a longitudinal data set
I got longitudinal data set where I want to drop observations after the event of interest have happend. This means I want to drop all observations after the dummy-variable indicating the event of ...
2votes
1answer
4kviews
How to check and control for autocorrelation in a mixed effect model of longitudinal data?
I have behavioral data for many groups of birds over 10 days of observation. I wanted to investigate whether there is a temporal pattern in some behaviors (e.g. does mate competition increase over ...