histmap: Histogram analysis of map and non map data

Description

The histmap function plots an attribute of a map and non-map data.

Usage

histmap(source,layer='',attribute,type='',label="",col='',trans='')
"histmap"(source,layer='',attribute,type='',label="",col='',trans='')
"print"(x,...)
"summary"(object,...)
"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.

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

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.

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

Run this code

## 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)