apc.plot.fit.residuals: Level plots of residuals / fitted values / linear predictors

In apc: Age-Period-Cohort Analysis

Description

Level plots of residuals / fitted values / linear predictors. Returns residuals / fitted values / linear predictors as matrices when requested. The plots use apc.plot.data.level. They plot are given in the original coordinate system.

Usage

apc.plot.fit.residuals(apc.fit.model,
					rotate=FALSE,main=NULL,lab=NULL,
					contour=FALSE,colorkey=TRUE,return=FALSE)
	   apc.plot.fit.fitted.values(apc.fit.model,
					rotate=FALSE,main=NULL,lab=NULL,
					contour=FALSE,colorkey=TRUE,return=FALSE)
	   apc.plot.fit.linear.predictors(apc.fit.model,
					rotate=FALSE,main=NULL,lab=NULL,
					contour=FALSE,colorkey=TRUE,return=FALSE)

Arguments

apc.fit.model	List. Output from apc.fit.model. See there for a description of the format.
rotate	Optional. Logical. If TRUE rotates plot 90 degrees clockwise (or anti-clockwise if data.format is "CL"). Default is FALSE.
main	Optional. Character. Main title.
lab	Optional plot parameter. A numerical vector of the form c(x, y, len) which modifies the default way that axes are annotated. The values of x and y give the (approximate) number of tickmarks on the x and y axes. len is not implemented.
contour	Optional levelplot (lattice) parameter. Logical. Contour lines drawn if TRUE. Default FALSE.
colorkey	Optional levelplot (lattice) parameter. Logical or list. Determines color key. Default TRUE.
return	Optional. Logical. If TRUE returns matrix with values. Default is FALSE.

Value

Matrix of the original format with residuals / fitted values /linear predictors as entries. Only produced if return is set to TRUE.

Author(s)

Bent Nielsen <[e-mail]> 26 Apr 2015

See Also

data.Italian.bladder.cancer for information on the data used in the example.

Examples

#####################
#	Example with Italian bladder cancer data

data.list	<- data.Italian.bladder.cancer()
fit			<- apc.fit.model(data.list,"poisson.dose.response","APC")
apc.plot.fit.fitted.values(fit,return=TRUE)

#       1955-1959   1960-1964   1965-1969   1970-1974   1975-1979
# 25-29   3.04200    3.368944    2.261518    2.327538   12.000000
# 30-34  13.11980   12.835733   13.955859   10.416142    9.672462
# 35-39  24.15536   33.591644   33.388355   37.542301   26.322340
# 40-44  69.89262   68.842728   96.652963   98.478793  113.132896
# 45-49 217.97285  189.375728  189.115063  272.281239  285.255119
# 50-54 450.44864  529.823519  462.504305  469.869189  701.354350
# 55-59 724.88451  904.298410 1069.452434  969.346982  966.017661
# 60-64 877.17820 1226.088350 1532.521380 1877.331703 1807.880364
# 65-69 950.36106 1296.011123 1798.196048 2336.012274 3028.419493
# 70-74 903.94495 1187.708772 1598.021907 2302.605072 3222.719298
# 75-79 831.00000  953.055049 1280.930166 1755.788768 2678.226017

Example output

      1955-1959   1960-1964   1965-1969   1970-1974   1975-1979
25-29   3.04200    3.368944    2.261518    2.327538   12.000000
30-34  13.11980   12.835733   13.955859   10.416142    9.672462
35-39  24.15536   33.591644   33.388355   37.542301   26.322340
40-44  69.89262   68.842728   96.652963   98.478793  113.132896
45-49 217.97285  189.375728  189.115063  272.281239  285.255119
50-54 450.44864  529.823519  462.504305  469.869189  701.354350
55-59 724.88451  904.298410 1069.452434  969.346982  966.017661
60-64 877.17820 1226.088350 1532.521380 1877.331703 1807.880364
65-69 950.36106 1296.011123 1798.196048 2336.012274 3028.419493
70-74 903.94495 1187.708772 1598.021907 2302.605072 3222.719298
75-79 831.00000  953.055049 1280.930166 1755.788768 2678.226017

apc documentation built on Oct. 23, 2020, 6:17 p.m.