desktop pattern oor Nepalees
desktop pattern
en
The screen background image used on a graphical user interface such as Windows. Any pattern or picture that can be stored as a bitmap (.bmp) file can be set as a screen background.
Vertalings in die woordeboek Engels - Nepalees
डेस्कटप बान्की
en
The screen background image used on a graphical user interface such as Windows. Any pattern or picture that can be stored as a bitmap (.bmp) file can be set as a screen background.
Geskatte vertalings
Vertoon algoritmies gegenereerde vertalings
voorbeelde
Advanced filtering
Voorbeelde moet herlaai word.
library(multtest) library(gplots) library(LDheatmap) library(genetics) library(compiler) #this library is already installed in R source("C:\\Users\\jujumaan\\Desktop\\gapit\\gapit_emma.txt") source("C:\\Users\\jujumaan\\Desktop\\gapit\\biocLite.R") source("C:\\Users\\jujumaan\\Desktop\\gapit\\gapit_source_code.txt") #Remember, this is the altered source code myY <- read.table("pheno.txt", head = T) myG <- read.table("geno.txt", head = F) myGAPIT <- GAPIT(Y=myY, G=myG, PCA.total=0, Model.selection = F) #myGAPIT <- GAPIT(Y=myY, G=myG, PCA.total=10, Model.selection = T) traits_list <- mget(ls(pattern = "trait_.*")) #make a list of all traits all_traits_GWAS <- Reduce(function(...) merge(..., all = T), traits_list) #merge all lists into a single data frame write.table(all_traits_GWAS, "all_traits_GWAS.txt", sep = "\t", quote = F, row.names = F)
संसूचको सन्देशको पृष्ठभूमि रङParaCrawl Corpus ParaCrawl Corpus
library(multtest) library(gplots) library(LDheatmap) library(genetics) library(compiler) #this library is already installed in R source("C:\\Users\\jujumaan\\Desktop\\gapit\\gapit_emma.txt") source("C:\\Users\\jujumaan\\Desktop\\gapit\\biocLite.R") source("C:\\Users\\jujumaan\\Desktop\\gapit\\gapit_source_code.txt") #Remember, this is the altered source code myY <- read.table("pheno.txt", head = T) myG <- read.table("geno.txt", head = F) myGAPIT <- GAPIT(Y=myY, G=myG, PCA.total=0, Model.selection = F) #myGAPIT <- GAPIT(Y=myY, G=myG, PCA.total=10, Model.selection = T) traits_list <- mget(ls(pattern = "trait_.*")) #make a list of all traits all_traits_GWAS <- Reduce(function(...) merge(..., all = T), traits_list) #merge all lists into a single data frame write.table(all_traits_GWAS, "all_traits_GWAS.txt", sep = "\t", quote = F, row.names = F)
पुरा पाठ खोजीका लागि अनुक्रमणिका विकास गर्नयो बटन क्लिक गर्नुहोस् ।ParaCrawl Corpus ParaCrawl Corpus
For example, this is how my script looks: library(multtest) library(gplots) library(LDheatmap) library(genetics) library(compiler) #this library is already installed in R source("C:\\Users\\jujumaan\\Desktop\\gapit\\gapit_emma.txt") source("C:\\Users\\jujumaan\\Desktop\\gapit\\biocLite.R") source("C:\\Users\\jujumaan\\Desktop\\gapit\\gapit_source_code.txt") #Remember, this is the altered source code myY <- read.table("pheno.txt", head = T) myG <- read.table("geno.txt", head = F) myGAPIT <- GAPIT(Y=myY, G=myG, PCA.total=0, Model.selection = F) #myGAPIT <- GAPIT(Y=myY, G=myG, PCA.total=10, Model.selection = T) traits_list <- mget(ls(pattern = "trait_.*")) #make a list of all traits all_traits_GWAS <- Reduce(function(...) merge(..., all = T), traits_list) #merge all lists into a single data frame write.table(all_traits_GWAS, "all_traits_GWAS.txt", sep = "\t", quote = F, row.names = F)
% # लोड गर्दा त्रुटि ।ParaCrawl Corpus ParaCrawl Corpus
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