Initialize the circular layout
Data on x-axes, a vector
Ranges for values on x-axes, see "details" section for explanation of the format
Width for each sector. The length of the vector should be either 1 which means
all sectors have same width or as same as the number of sectors. Values for
the vector are relative, and they will be scaled by dividing their summation.
By default, it is
The function allocates the sectors according to the values on x-axis.
The number of sectors are determined by the
factors and the order
of sectors are determined by the levels of factors. In this function,
the start and end position for each sector on the circle (measured by degree)
are calculated according to the values on x-axis or by
x is set, the length of
x must be equal to the length of
Then the data range for each sector are calculated from
x by splitting
xlim is set, it should be a vector containing two numbers or a matrix with 2 columns.
xlim is a 2-element vector, it means all sector share the same
xlim is a 2-column matrix, the number of rows should be equal to the number of categories
factors, then each row of
xlim corresponds to the data range for each sector
and the order of rows is corresponding to the order of levels of
xlim is a matrix
for which row names cover all sector names,
xlim is automatically adjusted.
Normally, width of sectors will be calculated internally according to the data range in sectors. But you can still set the width manually. However, it is not always a good idea to change the default sector width since the width can reflect the range of data in sectors. However, in some cases, it is useful to manually set the width such as you want to zoom some part of the sectors.
The function finally calls
plot with enforing aspect ratio to be 1 and be ready for adding graphics.
Gu, Z. (2014) circlize implements and enhances circular visualization in R. Bioinformatics.
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circos.initialize(factors = sample(letters[1:4], 20, replace = TRUE), xlim = c(0, 1)) circos.info() circos.clear() circos.initialize(factors = sample(letters[1:4], 20, replace = TRUE), xlim = cbind(1:4, 1:4*2)) circos.info() circos.clear() circos.initialize(factors = sample(letters[1:4], 20, replace = TRUE), x = rnorm(20)) circos.info() circos.clear()
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