heatmap.2中margins
时间: 2024-05-18 14:16:52 浏览: 153
在R中,heatmap.2函数用于制作热图。margins参数用于控制热图的边距大小。它是一个包含两个数字的向量,分别控制行和列的边距大小。例如,margins=c(5,10)表示行边距为5,列边距为10。如果只提供了一个数字,则表示行和列的边距大小相等。如果不提供margins参数,默认为margins=c(5,5)。需要注意的是,margins参数只适用于热图的主体部分,不包括行和列标签。
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heatmap.2(margins
`heatmap.2()` is a function in R that creates a heatmap with customizable features such as color schemes, scaling, and row/column dendrograms.
The `margins` argument in `heatmap.2()` allows you to add additional rows and columns on the sides of the heatmap to display summary statistics such as row and column means.
Here's an example code snippet using `heatmap.2()` with the `margins` argument:
```R
library(gplots)
# create example data
data <- matrix(rnorm(100), ncol = 10)
# create heatmap with margins
heatmap.2(data,
trace = "none",
col = colorRampPalette(c("navyblue", "white", "firebrick3"))(100),
margins = c(5, 5))
```
This will create a heatmap with 5 extra rows and columns on the top, bottom, left, and right sides that show the row and column means. The `trace` argument removes the color key legend and the `col` argument sets the color scheme for the heatmap.
heatmap.2(margins)
`heatmap.2()` is a function in R that creates a heatmap with customizable features such as color schemes, scaling, and row/column dendrograms.
The `margins` argument in `heatmap.2()` allows you to add additional rows and columns on the sides of the heatmap to display summary statistics such as row and column means.
Here's an example code snippet using `heatmap.2()` with the `margins` argument:
```R
library(gplots)
# create example data
data <- matrix(rnorm(100), ncol = 10)
# create heatmap with margins
heatmap.2(data,
trace = "none",
col = colorRampPalette(c("navyblue", "white", "firebrick3"))(100),
margins = c(5, 5))
```
This will create a heatmap with 5 extra rows and columns on the top, bottom, left, and right sides that show the row and column means. The `trace` argument removes the color key legend and the `col` argument sets the color scheme for the heatmap.
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