FastCCK8: Fast methods for CCK8 data analysis

View source: R/experiment_CCK8.R

FastCCK8R Documentation

Fast methods for CCK8 data analysis

Description

Fast methods for CCK8 data analysis

Usage

FastCCK8(
  data,
  cell.type = "cell",
  group = "group",
  empty.group = "0",
  stimulate.time = "stimulate.time",
  observe.time = "observe.time",
  value = "od",
  x.lab = "time",
  y.lab = "OD value(450nm)",
  title = "",
  size = 20,
  method.two = "t.test",
  method.all = "anova",
  verbose = T
)

Arguments

data

a data frame

cell.type

the colname of cell type

group

the colname of group

empty.group

the colname of the reference group without cells in the 96-well board.

stimulate.time

the colname of a stimulating factor.For example,different dose of drugs;different treatments.

observe.time

colname.observation time after CCK8 treatment.Time nodes like 1h,2h,4h are recommanded.

value

colname of OD value

x.lab

the title of x axis

y.lab

the title of y axis

title

the title of plot

size

the size of plot

verbose

whether do report

Value

a LuckyCCK8 object

Author(s)

Weibin Huang<654751191@qq.com>

See Also

plot.

Examples

data <- readxl::read_xlsx("E:/iProjects/exosome/experiment/exosome_1A/CCK8/CCK8_HGC27的合适种植数量及观察时间_20190424.xlsx", na = "NA")

object <- lucky::FastCCK8(data)
View(object$Data$statistics$two)
View(object$Data$statistics$all)

select <- summary(object,observe_time = "2h")

huangwb8/luckyExperiment documentation built on June 29, 2023, 10:15 a.m.