Select 2d spaces with variable associated measures using a slider

Measures object is a matrix or data.frame with measures (columns) for variable pairs (rows) and rownames of the two variates separated by separator

# S3 method for default
l_ng_ranges(measures, data, separator = ":", ...)

Arguments

measures

matrix or data.frame with measures (columns) for variable pairs (rows) and rownames of the two variates separated by separator
data

data frame for scatterplot
separator

a string that separates the variable pair string into the individual variables
...

arguments passed on to configure the scatterplot

Value

named list with plots-, graph-, plot-, navigator-, and context handle. The list also contains the environment of the the function call in env.

Details

For more information run: l_help("learn_R_display_graph.html#l_ng_ranges")

See also

l_ng_ranges, l_ng_ranges.measures, l_ng_ranges.scagnostics, measures1d, measures2d, scagnostics2d, l_ng_ranges

Examples

# Simple example with generated data
n <- 100
dat <- data.frame(
   A = rnorm(n), B = rnorm(n), C = rnorm(n),
   D = rnorm(n), E = rnorm(n)
)
m2d <- data.frame(
    cor = with(dat, c(cor(A,B), cor(A,C), cor(B,D), cor(D,E), cor(A,E))),
    my_measure = c(1, 3, 2, 1, 4),
    row.names = c('A:B', 'A:C', 'B:D', 'D:E', 'A:E')
)

# or m2d <- as.matrix(m2d)

nav <- l_ng_ranges(measures=m2d, data=dat)

# With 1d measures
m1d <- data.frame(
     mean = sapply(dat, mean),
     median =  sapply(dat, median),
     sd =  sapply(dat, sd),
     q1 = sapply(dat, function(x)quantile(x, probs=0.25)),
     q3 = sapply(dat, function(x)quantile(x, probs=0.75)),
     row.names = names(dat)
)

nav <- l_ng_ranges(m1d, dat)