... | ... |
@@ -1,8 +1,8 @@ |
1 | 1 |
Package: GMRP |
2 | 2 |
Type: Package |
3 | 3 |
Title: GWAS-based Mendelian Randomization and Path Analyses |
4 |
-Version: 1.8.0 |
|
5 |
-Date: 2018-05-19 |
|
4 |
+Version: 1.8.1 |
|
5 |
+Date: 2018-05-23 |
|
6 | 6 |
Author: Yuan-De Tan |
7 | 7 |
Maintainer: Yuan-De Tan <tanyuande@gmail.com> |
8 | 8 |
Description: Perform Mendelian randomization analysis of multiple SNPs |
... | ... |
@@ -1,6 +1,7 @@ |
1 | 1 |
fmerge <- |
2 | 2 |
function(fl1,fl2,ID1,ID2,A="",B="",method="No"){ |
3 |
- |
|
3 |
+fl1<-DataFrame(fl1) |
|
4 |
+fl2<-DataFrame(fl2) |
|
4 | 5 |
try (if(is.null(dim(fl1))|is.null(dim(fl2))) |
5 | 6 |
stop("No data to be merged") |
6 | 7 |
) |
... | ... |
@@ -35,5 +36,6 @@ merge.dat<-cbind(as.data.frame(fl1.new),as.data.frame(fl2.new)) |
35 | 36 |
mergdata<-merge.dat[,-"SNPID2"] |
36 | 37 |
} |
37 | 38 |
mergdata<-merge.dat[,-1] |
39 |
+mergdata<-DataFrame(mergdata) |
|
38 | 40 |
return(mergdata) |
39 | 41 |
} |
... | ... |
@@ -48,7 +48,7 @@ data12 <- fmerge(fl1=data1, fl2=data2, ID1="SNP", ID2="SNP", A=".dat1", B=".dat2 |
48 | 48 |
################################################### |
49 | 49 |
|
50 | 50 |
data(cad.data) |
51 |
-#cad <- DataFrame(cad.data) |
|
51 |
+cad <- DataFrame(cad.data) |
|
52 | 52 |
cad<-cad.data |
53 | 53 |
head(cad) |
54 | 54 |
|
... | ... |
@@ -57,7 +57,7 @@ head(cad) |
57 | 57 |
################################################### |
58 | 58 |
|
59 | 59 |
data(lpd.data) |
60 |
-#lpd <- DataFrame(lpd.data) |
|
60 |
+lpd <- DataFrame(lpd.data) |
|
61 | 61 |
lpd<-lpd.data |
62 | 62 |
head(lpd) |
63 | 63 |
|
... | ... |
@@ -89,14 +89,14 @@ User can take the following approach to merge all four lipid files into a data s |
89 | 89 |
|
90 | 90 |
<<>>= |
91 | 91 |
data(cad.data) |
92 |
-#cad <- DataFrame(cad.data) |
|
92 |
+cad <- DataFrame(cad.data) |
|
93 | 93 |
cad<-cad.data |
94 | 94 |
head(cad) |
95 | 95 |
@ |
96 | 96 |
|
97 | 97 |
<<>>= |
98 | 98 |
data(lpd.data) |
99 |
-#lpd <- DataFrame(lpd.data) |
|
99 |
+lpd <- DataFrame(lpd.data) |
|
100 | 100 |
lpd<-lpd.data |
101 | 101 |
head(lpd) |
102 | 102 |
@ |