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raw_to_means_metadata.R
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library(magrittr)
PBS1_05mM_r1 = read.delim("Data/PBS1_05mM_r1.txt",
sep = "\t", header = T, check.names = F)[ ,3:307]
data.frame("index" = as.numeric(colnames(PBS1_05mM_r1)),
"means" = colMeans(PBS1_05mM_r1),
"strain" = "PBS1",
"conc" = "0.5",
"rep" = "1") %>%
write.table("Data_means/PBS1_05mM_r1_means.txt",
sep = "\t",
quote = F,row.names = F,col.names = F)
PBS1_05mM_r2 = read.delim("Data/PBS1_05mM_r2.txt",
sep = "\t", header = T, check.names = F)[ ,3:307]
data.frame("index" = as.numeric(colnames(PBS1_05mM_r2)),
"means" = colMeans(PBS1_05mM_r2),
"strain" = "PBS1",
"conc" = "0.5",
"rep" = "2") %>%
write.table("Data_means/PBS1_05mM_r2_means.txt",
sep = "\t",
quote = F,row.names = F,col.names = F)
PBS1_05mM_r3 = read.delim("Data/PBS1_05mM_r3.txt",
sep = "\t", header = T, check.names = F)[ ,3:307]
data.frame("index" = as.numeric(colnames(PBS1_05mM_r3)),
"means" = colMeans(PBS1_05mM_r3),
"strain" = "PBS1",
"conc" = "0.5",
"rep" = "3") %>%
write.table("Data_means/PBS1_05mM_r3_means.txt",
sep = "\t",
quote = F,row.names = F,col.names = F)
PBS1_1mM_r1 = read.delim("Data/PBS1_1mM_r1.txt",
sep = "\t", header = T, check.names = F)[ ,3:307]
data.frame("index" = as.numeric(colnames(PBS1_1mM_r1)),
"means" = colMeans(PBS1_1mM_r1),
"strain" = "PBS1",
"conc" = "1",
"rep" = "1") %>%
write.table("Data_means/PBS1_1mM_r1_means.txt",
sep = "\t",
quote = F,row.names = F,col.names = F)
PBS1_1mM_r2 = read.delim("Data/PBS1_1mM_r2.txt",
sep = "\t", header = T, check.names = F)[ ,3:307]
data.frame("index" = as.numeric(colnames(PBS1_1mM_r2)),
"means" = colMeans(PBS1_1mM_r2),
"strain" = "PBS1",
"conc" = "1",
"rep" = "2") %>%
write.table("Data_means/PBS1_1mM_r2_means.txt",
sep = "\t",
quote = F,row.names = F,col.names = F)
PBS1_1mM_r3 = read.delim("Data/PBS1_1mM_r3.txt",
sep = "\t", header = T, check.names = F)[ ,3:307]
data.frame("index" = as.numeric(colnames(PBS1_1mM_r3)),
"means" = colMeans(PBS1_1mM_r3),
"strain" = "PBS1",
"conc" = "1",
"rep" = "3") %>%
write.table("Data_means/PBS1_1mM_r3_means.txt",
sep = "\t",
quote = F,row.names = F)
PBS1_5mM_r1 = read.delim("Data/PBS1_5mM_r1.txt",
sep = "\t", header = T, check.names = F)[ ,3:307]
data.frame("index" = as.numeric(colnames(PBS1_5mM_r1)),
"means" = colMeans(PBS1_5mM_r1),
"strain" = "PBS1",
"conc" = "5",
"rep" = "1") %>%
write.table("Data_means/PBS1_5mM_r1_means.txt",
sep = "\t",
quote = F,row.names = F)
PBS1_5mM_r2 = read.delim("Data/PBS1_5mM_r2.txt",
sep = "\t", header = T, check.names = F)[ ,3:307]
data.frame("index" = as.numeric(colnames(PBS1_5mM_r2)),
"means" = colMeans(PBS1_5mM_r2),
"strain" = "PBS1",
"conc" = "5",
"rep" = "2") %>%
write.table("Data_means/PBS1_5mM_r2_means.txt",
sep = "\t",
quote = F,row.names = F)
PBS1_5mM_r3 = read.delim("Data/PBS1_5mM_r3.txt",
sep = "\t", header = T, check.names = F)[ ,3:307]
data.frame("index" = as.numeric(colnames(PBS1_5mM_r3)),
"means" = colMeans(PBS1_5mM_r3),
"strain" = "PBS1",
"conc" = "5",
"rep" = "3") %>%
write.table("Data_means/PBS1_5mM_r3_means.txt",
sep = "\t",
quote = F,row.names = F)
PBS1_10mM_r1 = read.delim("Data/PBS1_10mM_r1.txt",
sep = "\t", header = T, check.names = F)[ ,3:307]
data.frame("index" = as.numeric(colnames(PBS1_10mM_r1)),
"means" = colMeans(PBS1_10mM_r1),
"strain" = "PBS1",
"conc" = "10",
"rep" = "1") %>%
write.table("Data_means/PBS1_10mM_r1_means.txt",
sep = "\t",
quote = F,row.names = F)
PBS1_10mM_r2 = read.delim("Data/PBS1_10mM_r2.txt",
sep = "\t", header = T, check.names = F)[ ,3:307]
data.frame("index" = as.numeric(colnames(PBS1_10mM_r2)),
"means" = colMeans(PBS1_10mM_r2),
"strain" = "PBS1",
"conc" = "10",
"rep" = "2") %>%
write.table("Data_means/PBS1_10mM_r2_means.txt",
sep = "\t",
quote = F,row.names = F)
PBS1_10mM_r3 = read.delim("Data/PBS1_10mM_r3.txt",
sep = "\t", header = T, check.names = F)[ ,3:307]
data.frame("index" = as.numeric(colnames(PBS1_10mM_r3)),
"means" = colMeans(PBS1_10mM_r3),
"strain" = "PBS1",
"conc" = "10",
"rep" = "3") %>%
write.table("Data_means/PBS1_10mM_r3_means.txt",
sep = "\t",
quote = F,row.names = F)