The histmap function plots an attribute of a map and non-map data.
Usage
histmap(source,layer='',attribute,type='',label="",col='',trans='')
## Default S3 method:
histmap(source,layer='',attribute,type='',label="",col='',trans='')
## S3 method for class 'histmap'
print(x,...)
## S3 method for class 'histmap'
summary(object,...)
## S3 method for class 'histmap'
plot(x,...)
Arguments
source
Folder path of the layer or map. Please quote the full folder path with forward slash "/". You can use R object as a source but you must set the layer parameter to "nofile"; see below
layer
The layer map in the folder that you want to work with. It is the file name of map. This is case sensitive, please. In case you want to use non spatial data such as ".csv", ".txt", "dat" or ".tab" insert the full file name as layer. In case of using R object as a source set "layer" parameter to "nofile"
type
The type of histogram chart you want to plot. It can take "norm", "density". Set the "type" to "map" if you want a map to be drawn for the attribute
attribute
The attribute name of the layer or the map you want use. In case of using non spatial data such as ".csv", ".txt", "dat" or ".tab" attributes are variables or column names
label
The labeling title of the chart. The title or topic of the graph
col
The colour of the chart
trans
It is for transformation of the attribute or variable. The original data can be transformed to log by setting trans to "log"; it can be set to square root by setting it to "sqrt"; it can also be scaled be setteing it to "scale". Leave it blank if you do not like data transformation.
x
an object of class "histmap", i.e., a fitted model.
object
an object of class "histmap", i.e., a fitted model.
...
any other R parameters can be added
Value
Objects of the class that basically list its elements
data
Original data for the model
table
Frequency of the original data
source
Folder path of the layer or map
layer
The layer map in the source folder
attribute
The attribute name of the layer or the map that was used.
label
The labeling title of the chart.
Author(s)
George Owusu
References
Bivand, R. S., Pebesma, E. J., Gomez-Rubio, V. (2008) Applied Spatial Data Analysis with R. Springer
Kabacoff, I. R. (2011) R in Action. Data Analysis and Graphics with R. Manning Publications Co
Examples
## Not run:
source<- system.file("external", package = "mgraph")
layer="farms"
graph=histmap(source, layer,attribute='Age',col='blue',label="")
summary(graph)
print(graph)
plot(graph)
#example 2: using R object
data(meuse.all, package="gstat")
histmap(meuse.all,layer="nofile",attribute="zinc", col="light blue")
#Histogram with normal distribtion
histmap(meuse.all,layer="nofile",attribute="zinc", col="light blue",type="normal")
## End(Not run)