artificialJointLongData: ~ Data: artificialJointLongData ~

Description Usage Format Details Author(s) Examples

Description

Some artificial joint longitudinal data.

Usage

1

Format

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

Details

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

Author(s)

Christophe Genolini

Examples

1
2

Example output

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 ...

longitudinalData documentation built on May 2, 2019, 8:53 a.m.