Dataframe full of
0
I have two data.frame: df1
structure(list(trial = c("SA1", "SA1", "SA1", "SA1", "SA1", "SA1"), CID =c(2565L, 8640L, 8456L, 8631L, 9329L, 8683L), SID = c(3L, 87L, 11L, 17L, 6L, 16L), GID = c("GID16170", "GID449286", "GID62427", "GID345692", "GID41372", "GID451760"),TID = c(5428L, 5428L, 5428L, 5428L, 5428L, 5428L)), row.names = c(NA, 6L), class = "data.frame")
and df2
structure(list(GID = c("GID7173723", "GID4878677", "GID88208", "GID346403","GID268825", "GID7399578", "GID6624429"), `1A-1145442` = c(2L, 0L,2L, 2L, 0L, 2L, 2L), `1A-1158042` = c(2L, 0L, 2L, 2L, 0L, 2L, 2L), `1A-1158055` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L), `1A-1229616` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L), `1A-1236254` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L), `1A-1238114` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L)), row.names = c(NA, 7L), class = "data.frame")
when I make the following df2[df1$GID] I get :
structure(list(GID = c(NA_character_, NA_character_, NA_character_,NA_character_, NA_character_, NA_character_, NA_character_), `1A-1145442` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1158042` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1158055` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1229616` =c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1236254` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1238114` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_)), row.names = c("NA", "NA.1", "NA.2", "NA.3", "NA.4", "NA.5", "NA.6"), class = "data.frame")
What is wrong with my code ? I want to expand the rows in df2 to 2700 rows. Basically df1 has 2700 rows and df2 2180 rows. Also df2$GID is basically unique(df1$GID) so all values of df2$GID are inside df1$GID. plus df2$GID has duplicated values.
Regards
r
asked Nov 23 '18 at 21:15
Alexandre MondainiAlexandre Mondaini
1347
add a comment |
0
I have two data.frame: df1
structure(list(trial = c("SA1", "SA1", "SA1", "SA1", "SA1", "SA1"), CID =c(2565L, 8640L, 8456L, 8631L, 9329L, 8683L), SID = c(3L, 87L, 11L, 17L, 6L, 16L), GID = c("GID16170", "GID449286", "GID62427", "GID345692", "GID41372", "GID451760"),TID = c(5428L, 5428L, 5428L, 5428L, 5428L, 5428L)), row.names = c(NA, 6L), class = "data.frame")
and df2
structure(list(GID = c("GID7173723", "GID4878677", "GID88208", "GID346403","GID268825", "GID7399578", "GID6624429"), `1A-1145442` = c(2L, 0L,2L, 2L, 0L, 2L, 2L), `1A-1158042` = c(2L, 0L, 2L, 2L, 0L, 2L, 2L), `1A-1158055` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L), `1A-1229616` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L), `1A-1236254` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L), `1A-1238114` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L)), row.names = c(NA, 7L), class = "data.frame")
when I make the following df2[df1$GID] I get :
structure(list(GID = c(NA_character_, NA_character_, NA_character_,NA_character_, NA_character_, NA_character_, NA_character_), `1A-1145442` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1158042` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1158055` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1229616` =c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1236254` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1238114` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_)), row.names = c("NA", "NA.1", "NA.2", "NA.3", "NA.4", "NA.5", "NA.6"), class = "data.frame")
What is wrong with my code ? I want to expand the rows in df2 to 2700 rows. Basically df1 has 2700 rows and df2 2180 rows. Also df2$GID is basically unique(df1$GID) so all values of df2$GID are inside df1$GID. plus df2$GID has duplicated values.
Regards
r
asked Nov 23 '18 at 21:15
Alexandre MondainiAlexandre Mondaini
1347
Please show expected output based ondf1anddf2.
– markus
Nov 23 '18 at 21:18
I expect something like df2 incremented by by the duplicated values of df1$GID
– Alexandre Mondaini
Nov 23 '18 at 21:23
sorry I use this : df2[df1$GID,] instead of df2[df1$GID]
– Alexandre Mondaini
Nov 23 '18 at 21:25
I can't make heads or tails of this question.
– Ista
Nov 23 '18 at 23:46
I figured out my error, my columns were transformed from characters into factor at some stage of my pipeline and the subsetting just did not work converting everything into NA . sorry guys for the stupid question.
– Alexandre Mondaini
Nov 24 '18 at 3:41
add a comment |
0
0
0
0
I have two data.frame: df1
structure(list(trial = c("SA1", "SA1", "SA1", "SA1", "SA1", "SA1"), CID =c(2565L, 8640L, 8456L, 8631L, 9329L, 8683L), SID = c(3L, 87L, 11L, 17L, 6L, 16L), GID = c("GID16170", "GID449286", "GID62427", "GID345692", "GID41372", "GID451760"),TID = c(5428L, 5428L, 5428L, 5428L, 5428L, 5428L)), row.names = c(NA, 6L), class = "data.frame")
and df2
structure(list(GID = c("GID7173723", "GID4878677", "GID88208", "GID346403","GID268825", "GID7399578", "GID6624429"), `1A-1145442` = c(2L, 0L,2L, 2L, 0L, 2L, 2L), `1A-1158042` = c(2L, 0L, 2L, 2L, 0L, 2L, 2L), `1A-1158055` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L), `1A-1229616` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L), `1A-1236254` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L), `1A-1238114` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L)), row.names = c(NA, 7L), class = "data.frame")
when I make the following df2[df1$GID] I get :
structure(list(GID = c(NA_character_, NA_character_, NA_character_,NA_character_, NA_character_, NA_character_, NA_character_), `1A-1145442` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1158042` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1158055` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1229616` =c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1236254` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1238114` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_)), row.names = c("NA", "NA.1", "NA.2", "NA.3", "NA.4", "NA.5", "NA.6"), class = "data.frame")
What is wrong with my code ? I want to expand the rows in df2 to 2700 rows. Basically df1 has 2700 rows and df2 2180 rows. Also df2$GID is basically unique(df1$GID) so all values of df2$GID are inside df1$GID. plus df2$GID has duplicated values.
Regards
r
asked Nov 23 '18 at 21:15
Alexandre MondainiAlexandre Mondaini
1347
I have two data.frame: df1
structure(list(trial = c("SA1", "SA1", "SA1", "SA1", "SA1", "SA1"), CID =c(2565L, 8640L, 8456L, 8631L, 9329L, 8683L), SID = c(3L, 87L, 11L, 17L, 6L, 16L), GID = c("GID16170", "GID449286", "GID62427", "GID345692", "GID41372", "GID451760"),TID = c(5428L, 5428L, 5428L, 5428L, 5428L, 5428L)), row.names = c(NA, 6L), class = "data.frame")
and df2
structure(list(GID = c("GID7173723", "GID4878677", "GID88208", "GID346403","GID268825", "GID7399578", "GID6624429"), `1A-1145442` = c(2L, 0L,2L, 2L, 0L, 2L, 2L), `1A-1158042` = c(2L, 0L, 2L, 2L, 0L, 2L, 2L), `1A-1158055` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L), `1A-1229616` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L), `1A-1236254` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L), `1A-1238114` = c(2L, 2L, 2L, 2L, 2L, 2L, 2L)), row.names = c(NA, 7L), class = "data.frame")
when I make the following df2[df1$GID] I get :
structure(list(GID = c(NA_character_, NA_character_, NA_character_,NA_character_, NA_character_, NA_character_, NA_character_), `1A-1145442` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1158042` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1158055` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1229616` =c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1236254` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_), `1A-1238114` = c(NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, NA_character_)), row.names = c("NA", "NA.1", "NA.2", "NA.3", "NA.4", "NA.5", "NA.6"), class = "data.frame")
What is wrong with my code ? I want to expand the rows in df2 to 2700 rows. Basically df1 has 2700 rows and df2 2180 rows. Also df2$GID is basically unique(df1$GID) so all values of df2$GID are inside df1$GID. plus df2$GID has duplicated values.
Regards
r
r
asked Nov 23 '18 at 21:15
Alexandre MondainiAlexandre Mondaini
1347
asked Nov 23 '18 at 21:15
Alexandre MondainiAlexandre Mondaini
1347
asked Nov 23 '18 at 21:15
Alexandre MondainiAlexandre Mondaini
1347
asked Nov 23 '18 at 21:15
Alexandre MondainiAlexandre Mondaini
1347
asked Nov 23 '18 at 21:15
Alexandre MondainiAlexandre Mondaini
1347
1347
Please show expected output based ondf1anddf2.
– markus
Nov 23 '18 at 21:18
I expect something like df2 incremented by by the duplicated values of df1$GID
– Alexandre Mondaini
Nov 23 '18 at 21:23
sorry I use this : df2[df1$GID,] instead of df2[df1$GID]
– Alexandre Mondaini
Nov 23 '18 at 21:25
I can't make heads or tails of this question.
– Ista
Nov 23 '18 at 23:46
I figured out my error, my columns were transformed from characters into factor at some stage of my pipeline and the subsetting just did not work converting everything into NA . sorry guys for the stupid question.
– Alexandre Mondaini
Nov 24 '18 at 3:41
add a comment |
Please show expected output based ondf1anddf2.
– markus
Nov 23 '18 at 21:18
I expect something like df2 incremented by by the duplicated values of df1$GID
– Alexandre Mondaini
Nov 23 '18 at 21:23
sorry I use this : df2[df1$GID,] instead of df2[df1$GID]
– Alexandre Mondaini
Nov 23 '18 at 21:25
I can't make heads or tails of this question.
– Ista
Nov 23 '18 at 23:46
I figured out my error, my columns were transformed from characters into factor at some stage of my pipeline and the subsetting just did not work converting everything into NA . sorry guys for the stupid question.
– Alexandre Mondaini
Nov 24 '18 at 3:41
Please show expected output based on
df1 and df2.– markus
Nov 23 '18 at 21:18
Please show expected output based on
df1 and df2.– markus
Nov 23 '18 at 21:18
I expect something like df2 incremented by by the duplicated values of df1$GID
– Alexandre Mondaini
Nov 23 '18 at 21:23
I expect something like df2 incremented by by the duplicated values of df1$GID
– Alexandre Mondaini
Nov 23 '18 at 21:23
sorry I use this : df2[df1$GID,] instead of df2[df1$GID]
– Alexandre Mondaini
Nov 23 '18 at 21:25
sorry I use this : df2[df1$GID,] instead of df2[df1$GID]
– Alexandre Mondaini
Nov 23 '18 at 21:25
I can't make heads or tails of this question.
– Ista
Nov 23 '18 at 23:46
I can't make heads or tails of this question.
– Ista
Nov 23 '18 at 23:46
I figured out my error, my columns were transformed from characters into factor at some stage of my pipeline and the subsetting just did not work converting everything into NA . sorry guys for the stupid question.
– Alexandre Mondaini
Nov 24 '18 at 3:41
I figured out my error, my columns were transformed from characters into factor at some stage of my pipeline and the subsetting just did not work converting everything into NA . sorry guys for the stupid question.
– Alexandre Mondaini
Nov 24 '18 at 3:41
add a comment |
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Please show expected output based on
df1anddf2.– markus
Nov 23 '18 at 21:18
I expect something like df2 incremented by by the duplicated values of df1$GID
– Alexandre Mondaini
Nov 23 '18 at 21:23
sorry I use this : df2[df1$GID,] instead of df2[df1$GID]
– Alexandre Mondaini
Nov 23 '18 at 21:25
I can't make heads or tails of this question.
– Ista
Nov 23 '18 at 23:46
I figured out my error, my columns were transformed from characters into factor at some stage of my pipeline and the subsetting just did not work converting everything into NA . sorry guys for the stupid question.
– Alexandre Mondaini
Nov 24 '18 at 3:41