Mercurial > repos > jfb > kinatest_r_7_7testing
comparison kinatestid_r/Kinatest-R_part1.R @ 9:f80306fc5d69 draft
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author | jfb |
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date | Thu, 08 Feb 2018 13:48:59 -0500 |
parents | 927eaf73feca |
children | cf93d3535a31 |
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8:927eaf73feca | 9:f80306fc5d69 |
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1 | 1 |
2 ImportedSubstrateList<- read.csv("input1", stringsAsFactors=FALSE) | 2 ImportedSubstrateList<- read.csv("input1", stringsAsFactors=FALSE) |
3 NegativeSubstrateList<- read.csv("input2", stringsAsFactors=FALSE) | 3 NegativeSubstrateList<- read.csv("input2", stringsAsFactors=FALSE) |
4 SubstrateBackgroundFrequency<- read.csv("input3", stringsAsFactors=FALSE) | 4 SubstrateBackgroundFrequency<- read.csv("input3", stringsAsFactors=FALSE) |
5 | 5 |
6 ScreenerFilename<-"screener7-7.csv" | 6 ScreenerFilename<-"screener" |
7 | 7 |
8 | 8 |
9 | 9 |
10 FILENAME<-"output1" | 10 FILENAME<-"output1" |
11 FILENAME2<-"output2" | 11 FILENAME2<-"output2" |
586 SetOfAAs<-matrix(data = SetOfAAs,ncol = 1) | 586 SetOfAAs<-matrix(data = SetOfAAs,ncol = 1) |
587 | 587 |
588 SDtableu<-SDtable | 588 SDtableu<-SDtable |
589 HeaderSD<-c(-7:7) | 589 HeaderSD<-c(-7:7) |
590 SDtable<-rbind(HeaderSD,SDtableu) | 590 SDtable<-rbind(HeaderSD,SDtableu) |
591 row.names(SDtable)<-NULL | |
591 SDtable<-data.frame(SetOfAAs,SDtable) | 592 SDtable<-data.frame(SetOfAAs,SDtable) |
592 | 593 |
593 PercentTable<-rbind(HeaderSD,PercentTable) | 594 PercentTable<-rbind(HeaderSD,PercentTable) |
595 row.names(PercentTable)<-NULL | |
594 PercentTable<-data.frame(SetOfAAs,PercentTable) | 596 PercentTable<-data.frame(SetOfAAs,PercentTable) |
595 numberofY<-as.numeric(SubstrateBackgroundFrequency$Number.of.Y) | 597 numberofY<-as.numeric(SubstrateBackgroundFrequency$Number.of.Y) |
596 numberofY<-numberofY[!is.na(numberofY)] | 598 numberofY<-numberofY[!is.na(numberofY)] |
597 | 599 |
598 numberofPY<-as.numeric(SubstrateBackgroundFrequency$Number.of.pY) | 600 numberofPY<-as.numeric(SubstrateBackgroundFrequency$Number.of.pY) |
1093 write.table(PercentTable,file=FILENAME, append = TRUE,sep=",",row.names = FALSE, col.names = FALSE) | 1095 write.table(PercentTable,file=FILENAME, append = TRUE,sep=",",row.names = FALSE, col.names = FALSE) |
1094 | 1096 |
1095 EPMtableu<-EPMtable | 1097 EPMtableu<-EPMtable |
1096 HeaderSD<-c(-7:7) | 1098 HeaderSD<-c(-7:7) |
1097 EPMtableu<-rbind(HeaderSD,EPMtableu) | 1099 EPMtableu<-rbind(HeaderSD,EPMtableu) |
1100 row.names(EPMtableu)<-NULL | |
1098 EPMtableu<-data.frame(SetOfAAs,EPMtableu) | 1101 EPMtableu<-data.frame(SetOfAAs,EPMtableu) |
1099 | 1102 |
1100 write.table("Site Selectivity Matrix", file = FILENAME2, append = TRUE, sep = ",", row.names = FALSE, col.names = FALSE) | 1103 write.table("Site Selectivity Matrix", file = FILENAME2, append = TRUE, sep = ",", row.names = FALSE, col.names = FALSE) |
1101 SelectivityHeader=matrix(data = c("Position",-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7),nrow = 1) | 1104 SelectivityHeader=matrix(data = c("Position",-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7),nrow = 1) |
1102 head<-matrix(data=rep(" ",times=16),nrow = 1) | 1105 head<-matrix(data=rep(" ",times=16),nrow = 1) |
1106 #colnames(SelectivitySheet)<-c("-7","-6","-5","-4","-3","-2","-1","0","1","2","3","4","5","6","7") | 1109 #colnames(SelectivitySheet)<-c("-7","-6","-5","-4","-3","-2","-1","0","1","2","3","4","5","6","7") |
1107 write.table(SelectivitySheet,file = FILENAME2, append = TRUE,sep = ",",row.names = TRUE, col.names = FALSE) | 1110 write.table(SelectivitySheet,file = FILENAME2, append = TRUE,sep = ",",row.names = TRUE, col.names = FALSE) |
1108 write.table(x=c("Endogenous Probability Matrix"),file=FILENAME2,append = TRUE,sep=",", row.names = FALSE, col.names = FALSE) | 1111 write.table(x=c("Endogenous Probability Matrix"),file=FILENAME2,append = TRUE,sep=",", row.names = FALSE, col.names = FALSE) |
1109 write.table(EPMtableu,file = FILENAME2, append = TRUE,sep = ",",row.names = FALSE, col.names = FALSE) | 1112 write.table(EPMtableu,file = FILENAME2, append = TRUE,sep = ",",row.names = FALSE, col.names = FALSE) |
1110 write.table(NormalizationScore, file = FILENAME2, append = TRUE,sep = ",",row.names = FALSE, col.names = FALSE) | 1113 write.table(NormalizationScore, file = FILENAME2, append = TRUE,sep = ",",row.names = FALSE, col.names = FALSE) |
1114 |