base_filter.low: filtering lots of different dataset via lots of condition...

In shijianasdf/BasicBioinformaticsAnalysisFromZhongShan: Launch Usual Clinical tool for Kind Yield

Description

filter.low() help quickly filtering lots of different dataset via lots of condition based on lower cut off number.It returns,by every dataset,a targets vetor and the related sub-data via list style.

Usage

  filter.low(list.data,
             list.cutoff.col,
             list.cut.off,
             list.target.col,
             range)

Arguments

list.data	a list of data frame
list.target.col	a list of character vectors containing target marker colnames of related data.
list.cut.off	a list of numeric vectors containing target marker cut-off value.
range	the range you want to do the filter.

Author(s)

Weibin Huang<[e-mail]>

Examples

library(lucky)
state1 <- state.x77;state1 <- as.data.frame(state1)
state1$city <- rownames(state1)
list.data = list(data1 = state1,data2 = state1);colnames(state1)
list.cutoff.col = list(c("Income","Life Exp"),
                       c("Income","Life Exp")) # select people with long life and high income
list.cutoff = list(c(3380,70),
                   c(3380,70))
list.target.col = list("city","city")
range = state1$city[state1$city != "Alabama"] # I don't care Alabama State
l1 <- filter.low(list.data,
                 list.cutoff.col,
                 list.cut.off,
                 list.target.col,
                 range)
show(l1[["data1"]][["select.marker"]])
View(l1[["data1"]][["select.data"]])

shijianasdf/BasicBioinformaticsAnalysisFromZhongShan documentation built on Jan. 3, 2020, 10:08 p.m.