Calculates the quantiles of a track expression for the given percentiles.
gquantiles(
expr = NULL,
percentiles = 0.5,
intervals = get("ALLGENOME", envir = .misha),
iterator = NULL,
band = NULL
)track expression
an array of percentiles of quantiles in [0, 1] range
genomic scope for which the function is applied
track expression iterator. If 'NULL' iterator is determined implicitly based on track expression.
track expression band. If 'NULL' no band is used.
An array that represent quantiles.
This function calculates the quantiles for the given percentiles.
If data size exceeds the limit (see: 'getOption(gmax.data.size)'), the data is randomly sampled to fit the limit. A warning message is generated. The seed of the pseudo-random generator can be controlled through 'grnd.seed' option.
Note: this function is capable to run in multitasking mode. Sampling may vary according to the extent of multitasking. Since multitasking depends on the number of available CPU cores, running the function on two different machines might give different results. Please switch off multitasking if you want to achieve identical results on any machine. For more information regarding multitasking please refer "User Manual".
gdb.init_examples()
gquantiles("dense_track", c(0.1, 0.6, 0.8), gintervals(c(1, 2)))
#> 0.1 0.6 0.8
#> 0.02 0.10 0.14