View source: R/covariancecorrelation.R
CorrelationMatrix | R Documentation |
CorrelationMatrix
Produces a correlation matrix from columns of data.
CorrelationMatrix(
input.data,
use.names = FALSE,
ignore.columns = "",
missing.data = "Use partial data",
spearman = FALSE,
filter = NULL,
weights = NULL,
show.cell.values = "Automatic",
colors = NULL,
colors.min.value = -1,
colors.max.value = 1,
row.labels = "Yes",
column.labels = "Yes",
input.type = NULL,
categorical.as.binary = FALSE
)
input.data |
Either a |
use.names |
Whether to use names in place of labels. |
ignore.columns |
A list of names of columns to ignore. When |
missing.data |
Treatment of missing data. Options are |
spearman |
Boolean whether to compute Spearman's correlation instead of Pearson's correlation. |
filter |
An optional logical vector specifying a subset of values to be used. |
weights |
An optional vector of sampling weights. |
show.cell.values |
Either |
colors |
A vector of colors used to create the colorbar.
If not specified it will default to |
colors.min.value |
Lower bound of the colorbar |
colors.max.value |
Upper bound of the colorbar |
row.labels |
Either |
column.labels |
Either |
input.type |
Deprecated. Now automatically deduced from |
categorical.as.binary |
Whether to convert factors to dummy binary variables, or else their levels are converted to integers. |
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