This function visualizes the map with different variables. The input data frame can be either the long or wide format.
Usage
mapPlot(
data = NULL,
variables,
values = NULL,
labels = NULL,
geo,
by.data,
by.geo,
is.long = FALSE,
size = 0.5,
removetab = FALSE,
border = "gray20",
ncol = NULL,
ylim = NULL,
legend.label = NULL,
per1000 = FALSE,
clean = TRUE,
size.label = 2,
add.adj = FALSE,
color.adj = "red",
alpha.adj = 0.85,
direction = 1,
cut = NULL
)Arguments
- data
a data frame with variables to be plotted. When it is null, a map is produced.
- variables
vector of variables to be plotted. If long format of data is used, only one variable can be selected
- values
the column corresponding to the values to be plotted, only used when long format of data is used
- labels
vector of labels to use for each variable, only used when wide format of data is used
- geo
SpatialPolygonsDataFrame object for the map
- by.data
column name specifying region names in the data
- by.geo
variable name specifying region names in the data
- is.long
logical indicator of whether the data is in the long format, default to FALSE
- size
size of the border
- removetab
logical indicator to not show the tab label, only applicable when only one tab is present.
- border
color of the border
- ncol
number of columns for the output tabs
- ylim
range of the values to be plotted.
- legend.label
Label for the color legend.
- per1000
logical indicator to plot mortality rates as rates per 1,000 live births. Note that the added comparison data should always be in the probability scale.
- clean
remove all coordinates for a cleaner layout, default to TRUE.
- size.label
size of the label of the regions.
- add.adj
logical indicator to add edges between connected regions.
- color.adj
color of the adjacency matrix edges.
- alpha.adj
alpha level (transparency) of the adjacency matrix edges.
- direction
Direction of the color scheme. It can be either 1 (smaller values are darker) or -1 (higher values are darker). Default is set to 1.
- cut
a vector of values to cut the continuous scale color to discrete intervals.
Examples
if (FALSE) { # \dontrun{
data(DemoMap)
# Plotting data in the long format
dat <- data.frame(region = rep(c("central", "eastern", "northern", "western"), 3),
year = rep(c(1980, 1990, 2000), each = 4),
values = stats::rnorm(12))
utils::head(dat)
mapPlot(dat, variables = "year", values = "values",
by.data = "region", geo = DemoMap$geo,
by.geo = "NAME_final", is.long = TRUE)
dat <- data.frame(region = c("central", "eastern", "northern", "western"),
Year1 = stats::rnorm(4), Year2 = stats::rnorm(4),
Year3 = stats::rnorm(4))
utils::head(dat)
mapPlot(dat, variables = c("Year1", "Year2", "Year3"),
labels = c(1980, 1990, 2000),
by.data = "region", geo = DemoMap$geo,
by.geo = "NAME_final", is.long = FALSE)
} # }