artificialJointLongData: ~ Data: artificialJointLongData ~
In longitudinalData: Longitudinal Data

Description Usage Format Details Author(s) Examples

Some artificial joint longitudinal data.

1	data(artificialJointLongData)

Some joint longitudinal data in wide format. It includes 90 trajectories divided in 3 groups.

id: unique idenfier for each patient.
v0: Measurment of variable 'V' at time t0
v1: Measurment of variable 'V' at time t1
...: ...
v10: Measurment of variable 'V' at time t0
w0: Measurment of variable 'W' at time t0
w1: Measurment of variable 'W' at time t1
...: ...
w10: Measurment of variable 'W' at time t0
x0: Measurment of variable 'X' at time t0
x1: Measurment of variable 'X' at time t1
...: ...
x10: Measurment of variable 'X' at time t0

Some joint longitudinal data in wide format. It includes 90 trajectories divided in 3 groups.

Christophe Genolini

1 2	data(artificialJointLongData) str(artificialJointLongData)

Loading required package: clv
Loading required package: cluster
Loading required package: class
Loading required package: rgl
Loading required package: misc3d
Warning messages:
1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
2: 'rgl_init' failed, running with rgl.useNULL = TRUE 
3: .onUnload failed in unloadNamespace() for 'rgl', details:
  call: fun(...)
  error: object 'rgl_quit' not found 
'data.frame':	150 obs. of  34 variables:
 $ id : Factor w/ 150 levels "s1","s10","s100",..: 1 63 74 85 96 107 118 129 140 2 ...
 $ v0 : num  -2.4 -3.21 0.59 2.22 -4.05 -3.38 2.61 -0.38 -0.6 1.41 ...
 $ v1 : num  -5.17 -0.74 1.62 2.16 -4.04 1.77 3.96 -0.34 1.61 0.15 ...
 $ v2 : num  -1.17 -0.97 -1.4 2.95 2.44 -1.06 -4.69 -0.97 5.53 0.47 ...
 $ v3 : num  -2.81 -3.24 4.36 5.48 0.42 -1.21 -0.71 2.93 -1.18 5.51 ...
 $ v4 : num  1 -0.18 2.29 2.63 -1.67 -2.04 -1.02 3.37 1.99 -1.49 ...
 $ v5 : num  -0.41 -1.57 -0.46 -0.06 0.76 3.51 -2.06 -5 -1.19 0.89 ...
 $ v6 : num  -3.35 -4.32 -0.76 2.95 -1.57 -0.63 0.82 -2.08 1.26 5.05 ...
 $ v7 : num  -1.74 -1.85 -0.34 4.49 -1.37 -1.73 1.59 -0.3 -4.26 0.82 ...
 $ v8 : num  -3.07 -3.26 0.23 6.68 -3.24 -1.41 -1.47 -0.75 3.61 -0.11 ...
 $ v9 : num  1.53 -1.8 -0.49 5.17 1.96 -3.04 1.34 3.28 1.97 -0.97 ...
 $ v10: num  0.07 0 -0.41 4.58 0.46 -0.61 -4.73 -1.22 -0.93 1.33 ...
 $ w0 : num  -0.78 0.73 2.35 -1.49 2.62 4.37 4.52 -1.66 2.68 -0.11 ...
 $ w1 : num  -0.31 -0.43 1.66 0.98 1.52 4.14 0.4 -2.69 -0.94 -1.91 ...
 $ w2 : num  0.95 -0.89 1.71 -1.38 3.28 4.24 2.14 0.96 0.15 -2.67 ...
 $ w3 : num  -0.98 0.64 3.13 -2.4 0.65 0.97 0.4 -0.34 4.91 -1.06 ...
 $ w4 : num  4.18 1.75 3.3 0.23 1.45 4.25 1.12 6.4 2.24 -1.26 ...
 $ w5 : num  2.26 0.34 0.68 3.27 3.87 9.46 2.25 1.25 1.12 0.08 ...
 $ w6 : num  2.48 6.91 1.08 0.46 6.23 5.91 4.14 5.13 1.86 -1.68 ...
 $ w7 : num  5.69 6.42 2.29 -2.34 4.66 4.51 1.84 4.6 2.54 -1.67 ...
 $ w8 : num  4.99 6.02 9.51 7.94 4.6 8.42 5.74 5.93 6.42 4.93 ...
 $ w9 : num  8.54 9.29 9.34 7.57 12.04 ...
 $ w10: num  9.74 12.89 9.65 8.16 13.66 ...
 $ x0 : num  -1.01 -6.08 5.63 2 0.65 -0.28 -1.35 -7.13 1.12 -0.93 ...
 $ x1 : num  -1.31 -0.81 2.76 3.08 -2.77 -6.47 -0.3 -4.54 0.64 -3.56 ...
 $ x2 : num  -0.24 -1.28 4.94 4.83 -3.69 0.92 1.73 -2.02 -1.46 0.21 ...
 $ x3 : num  -1.15 -1.12 -0.26 2.48 -1.92 -1.46 3.29 0.03 -0.89 -2.94 ...
 $ x4 : num  -5.14 -1 1.32 2.5 3.74 -2.62 0.52 -4.11 3.38 0.71 ...
 $ x5 : num  -6.35 -1.98 5.21 3.09 -1.58 -4.2 -0.24 -0.96 1.79 -2.42 ...
 $ x6 : num  -1.95 -3.12 3.67 5.9 1.62 -0.95 -0.31 -0.13 -3.71 -3.05 ...
 $ x7 : num  -1.39 -1.1 3.1 -0.28 3.68 0.73 3.34 -3.44 1.8 -3.82 ...
 $ x8 : num  -4.47 -1.87 4.97 3.12 3.24 -6.86 0.56 -6.01 -2.31 -1.87 ...
 $ x9 : num  -1.46 -0.33 4.86 2.36 -3.07 -1.57 0.22 -0.97 -1.24 -2.82 ...
 $ x10: num  -2.72 -1.67 1.63 -0.9 -0.95 0.98 -0.76 -1.51 -0.06 -5.47 ...