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.
Questions tagged [longitudinal]
262 questions
11
votes
1 answer
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 to implement the methods in the LongituRF package.…

JustGettinStarted
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6
votes
2 answers
Clustering longitudinal data with multiple variables in R
I have a dataset that contains the observations of 30 people and each of them had done 20 experiments. Suppose my data looks like this:
ID trial reaction response prop_1 prop_2
"s1" 1 2.12 0 0.52 0.48
"s1" 2 …

Mina
- 327
- 1
- 6
4
votes
4 answers
Remove single observations then duplicate remaining observations
For the following data, I'd like to do the following:
[1] remove observations with only one repeated measure / observation for that id
[2] if the remaining id's have fewer than 5 repeated measures, repeat those observations till there's at least 5…

Vons
- 3,277
- 2
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4
votes
3 answers
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 to do in R or would it be easier for me to do…

Karen
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- 5
4
votes
0 answers
Dimensionality reduction on repeated measures: PCA? MFA? (FactoMineR)
I have a repeated measures sample, where each participant was asked to complete a sleep survey over the course of 5 years (baseline though year 4 of follow-up). Each survey item is fairly correlated (e.g. when you go to bed correlates with your…

Jess G
- 188
- 9
4
votes
2 answers
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(2000:2009, 10),
"grade" =…

cach dies
- 331
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- 14
4
votes
1 answer
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 from the survival packages
Nevertheless, the…

k.r.
- 41
- 2
3
votes
1 answer
Regression tree size in the context of state sequence analysis using TraMineR in R
I am conducting a regression tree using state sequence analysis and I want the image output to have the dimensions of a Letter size paper (landscape).
When I use the code I include the regression tree appears as a separate window, always of the same…

idborquez
- 33
- 4
3
votes
1 answer
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 that I received from the earlier post (r2evans,…

birch
- 47
- 5
3
votes
1 answer
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 my glm, my coefficients are very different from my…

shaq1993
- 55
- 5
3
votes
2 answers
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 do I get to this?
ID Time Gender Gender_Recoded
1 …

Tamala Bradham
- 31
- 1
3
votes
0 answers
How can we show the trajectories belonging to clusters in `kml` package?
The kml package implements k-means for longitudinal data. The clustering works just fine.
Now I'm wondering how I can show the 'structure' of the clusters, for example, by coloring them.
A most simple example from the docs (help file of the…

symbolrush
- 7,123
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3
votes
2 answers
(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 each of that individual's rows. For example, if…

Jess
- 33
- 2
3
votes
0 answers
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$GCIP
time_since_on <- data_head$time_since_on
Patient <-…

Lili
- 547
- 6
- 19
3
votes
1 answer
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 time?) And I was told that I had to account for the…

Romulo
- 41
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