lak: Labor Market Discrimination
R: Labor Market Discrimination
const macros = { "\\R": "\\textsf{R
R: Labor Market Discrimination
const macros = { "\\R": "\\textsf{R
# Scripts and R code for analyzing data from Laks
## Pre-processing
- Merge single cell DLP data to generate pseudo
(exon.gtf)
laks_snv <- read.table("data/Laks/ov2295_clone_snvs.csv", header=T, sep=",")
laks_snv$loc <- paste(laks_snv
<- "/home/x_seoju/ScRNACloneEvaluation/Laks/Config.txt"
#CONFIG_FILE <- "/Users/seonghwanjun/ScRNACloneEvaluation/Laks
[,1]
bin = median(Ldat[-1,1]-Ldat[-nrow(Ldat),1])/2
lak = matrix(NA, ncol=length(ages), nrow(Ldat))
runs
#' * LAK package information is read out on the first of the next month (e.g.,
#' January rates are read out
, maxage, maxL)
calc_sel_len(sel_par, lmid, type)
calc_fsel_age(
breaks <- seq(0, ceiling(max(pred_length)) * 10, length_group)
lak <- matrix(NA, ncol = length
given
a length-age-key. Expects matrices to be named.
Usage
, 'ric' = ri)
}else{
lak = data.frame(cbind(1:length(lakestage), lakestage))
Package: ScRNACloneEvaluation
Type: Package
Title: ScRNA clone evaluation
returned by [calc_sel_len()]
#' @param LAK Length-at-age probability matrix. Matrix `[a, length(lmid)]`
#' @param sel_block
, 'ric' = ri)
}else{
lak = data.frame(cbind(1:length(lakestage), lakestage))
combination of 'UZF', 'SFR' or 'LAK'. Defaults to not including any of the above.
Value
object of class lmt
milaK=0
repli=5
keep0=matrix(0,nrow=repli, ncol=1)
=matrix(0,nrow=repli, ncol=1)
for (jj in 1:repli)
laK=DrawK0(AllSt,allctil,alogfac, alogfac2, alfac, n, rho, b2
wb.lake
Description
Calculate the Change of Storage.
test %>% filter(province == "Hau Giang", year == 2005) %>% .$total)
# Dack Lak
expect_equal(df %>%
wb.lake
Description
Calculate the Change of Storage.
",
"HKD",
"HNL",
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