histigt {ig} | R Documentation |
The function histigt()
produces a histogram and a box-plot of the data.
Also, the estimated pdf may be sketched on the histogram.
histigt(x, kernel = "normal", boxPlot = "TRUE", densityLine = "FALSE", mainTitle = "Histogram and boxplot", xLabel = "Data", yLabel = "Frequency", yRange = NULL, colourHistogram = "blue", colourDensity = "black", colourBoxPlot = "blue")
x |
Vector of observations. |
kernel |
Kernel of the pdf of the associated symmetrical distribution
by means of which the IGTD is obtained. The kernels:
"laplace" , "logistic" , "normal" and
"t" are available. |
boxPlot |
Logical; if TRUE (default), the boxplot is plotted, otherwise not. |
densityLine |
Logical; if TRUE, the pdf is sketched on the histogram, otherwise not. |
mainTitle |
Main title of the graph. |
xLabel |
A title for the x axis. |
yLabel |
A title for the x axis. |
yRange |
Limit for the y axis. |
colourHistogram |
Color inside the histogram. |
colourDensity |
Color of the estimated pdf curve. |
colourBoxPlot |
Color inside the boxplot. |
The function histigt()
simultaneously produces a box-plot and a
histogram for the data. The box-plot may be supressed by the instruction
boxPlot = FALSE
. Also, the estimated pdf may be sketched on the
histogram adding the instruction densityLine = TRUE
.
The function histigt()
carries out an exploratory graphical analysis
and can be also useful as a simple goodness-of-fit tool.
Víctor Leiva <victor.leiva@uv.cl; victor.leiva@yahoo.com>,
Hugo Hernández <hugo.hernandez.p@gmail.com> and
Antonio Sanhueza <asanhueza@ufro.cl>.
Sanhueza, A., Leiva, V., Balakrishnan, N. (2008). A new class of inverse Gaussian type distributions. Metrika (in press).
## Generates a sample from the IGTD with normal kernel x <- rigt(300, mu = 1.0, lambda = 1.0, kernel = "normal") ## Produces a histogram for the IGTD with normal kernel from the data x histigt(x, mainTitle = "", xLabel = "Data", kernel = "normal", colourHistogram = 4, colourBoxPlot = 4)