SPARTAAS (version 1.2.4)

timerange: Plot the time range of observations sorted by cluster.

Description

Cluster time range visualisation.

Usage

timerange(
  data,
  cluster = NULL,
  add = NULL,
  density = NULL,
  color = NULL,
  reorder = FALSE
)

Value

The function returns a list.

plot

The timerange plot.

Arguments

data

data.frame containing the identifier, lower and upper bound (id, inf, sup) for each observation

cluster

vector containing the cluster number of each observation.

add

data.frame containing the information to be displayed on hover.

density

vector of the density for each observation.

color

vector of the colors for each observation (if you want the colors to correspond to something else than clusters). Character vector of the same length as the number of observations.

reorder

Logical to rearrange the colors. If TRUE, the first color corresponds to the leftmost cluster on the plot. If FALSE, the first color is that of cluster number 1, wherever it is.

Author

A. COULON

B. MARTINEAU

L. BELLANGER

P. HUSI

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.
library(SPARTAAS)
data <- data.frame(
  id = c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20),
  Lower_bound = c(400,401,401,350,500,460,482,432,399,
    489,750,740,704,700,758,789,802,755,750,820),
  Upper_bound = c(550,689,755,700,780,700,700,699,650,
    850,1100,1100,1010,889,999,999,1050,1002,1000,1100)
)

cluster = c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2)

add <- data.frame(
  Site = c("Angers","Angers","Angers","Angers","Angers",
    "Angers","Angers","Angers","Angers","Angers",
    "Blois","Blois","Blois","Blois","Blois",
    "Blois","Blois","Blois","Blois","Blois")
)

timerange(data, cluster, add)

## with sub group (cluster 1 is sub divided in 2: 1.1 and 1.2)
cluster_with_sub = c(1.1,1.1,1.1,1.1,1.1,1.2,1.2,1.2,1.2,1.2,2,2,2,2,2,2,2,2,2,2)

timerange(data, cluster_with_sub, add)

## with density
density <- c(32,34,35,19,9,25,19,29,28,18,10,13,9,10,9,6,3,7,7,1)
timerange(data=data, cluster=cluster, density=density)