heatpoint | R Documentation |
heatpoint packages is created for the desity plot, It can caculate the point density in 2-dimension coordinate or 1D coordinate by the parameter 'only'.
heatpoint(
x,
y,
xlim = NULL,
ylim = NULL,
log = "",
grid = 100,
only = "none",
method = "pearson",
formula = y ~ x,
...
)
x |
the input data need vector or list number, if the dataframe colunm should use '$' or '[]'. |
y |
the other input data caculate for the density for x input. |
xlim |
input must be a vctor,the limit of the x input number for caculate desity. |
ylim |
input must be a vctor,the limit of the y input number for caculate desity. |
log |
a character string which contains "x" if the x axis is to be logarithmic, "y" if the y axis is to be logarithmic and "xy" or "yx" if both axes are to be logarithmic. |
grid |
the input number will be cut for several zones for caculate the desity, the grid parameter more small ,the desity will be more slight and more time need. |
only |
a character string which contains 'x' if the density should only be computed for the x axis, 'y' for the y axis (defaults to 'none' for the two-dimensional case). |
method |
a character specifying the correlation method to use ('pearson' (default), 'kendall' or 'spearman'). |
formula |
the lm formula,the defult is 'y ~ x' |
... |
additional parameters to be passed to points and plot. |
the list object including the plot data and the result of the correlation adn lm.
Two-Dimensional Kernel Density Estimation adapted and modified from Venables and Ripley's MASS package (see reference).
Jiaxuan Wang
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
The LSD packages, the wonderful R packages created by Achim Tresch and Bjoern Schwalb
points = 5000
x = c(rnorm(points/2))
y = x + rnorm(points/2,sd=0.8)
x = sign(x)*abs(x)^1.3
heatpoint(x,y) -> dat_result
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