RiskFactor_plot.linear: To plot Risk Factor plot for linear regression

Description Usage Arguments Value Examples

View source: R/RiskFactor_plot.linear.R

Description

To plot Risk Factor plot for linear regression

Usage

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RiskFactor_plot.linear(data, y, patient.names = "name",
  scatter.margin = c(low = 0, left = 4, top = 3, right = 8),
  scatter.color = c(Prediction = "red", Reality = "black"),
  scatter.location = c(legend.x = 10, legend.y = 20),
  scatter.size = c(axis = 1.5, lab = 1.5, points = 1.5, legend = 1.6,
  cutoff = 1.9), heatmap.cellheight = 20, heatmap.cellwidth = 10,
  cluster_cols = FALSE, cluster_rows = FALSE,
  heatmap.color = c("green", "black", "red"), heatmap.size = c(row =
  15, column = 15, legend = 10))

Arguments

data

the data you want to plot

y

the purpose var

patient.names

patient id

scatter.margin

scatter.margin

scatter.color

scatter.color

scatter.location

scatter.location

scatter.size

scatter.size

heatmap.cellheight

heatmap.cellheight

heatmap.cellwidth

heatmap.cellwidth

cluster_cols

cluster_cols

cluster_rows

cluster_rows

heatmap.color

heatmap.color

heatmap.size

heatmap.size

Value

four pictures

Examples

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RiskFactor_plot.linear(
           data=linearData,
           y="y2",
           patient.names="name",

           scatter.margin = c(low=0,left=4,top=3,right=8),
           scatter.color=c(Prediction="red",Reality="black"),
           scatter.location=c(legend.x=10,legend.y=20),
           scatter.size=c(axis=1.5,lab=1.5,
                          points=1.5,legend=1.6,
                          cutoff=1.9),

           heatmap.cellheight=20,
           heatmap.cellwidth=10,
           cluster_cols = FALSE,
           cluster_rows = FALSE,
           heatmap.color=c("green", "black", "red"),
           heatmap.size=c(row=15,column=15,legend=10)
         )

yikeshu0611/onetree documentation built on Aug. 26, 2019, 9:18 p.m.