Reading a multiple key-value file
0
Is there a way to read following type of text file in R
Key1=Value11|Key2=Value21|Key3=Value31|...
Key1=Value12|Key2=Value22|Key3=Value32|...
Key1=Value13|Key2=Value23|Key3=Value33|...
I want to create a data frame like
Key1|Key2|Key3
Value11|Value21|Value31
Value12|Value22|Value32
Value13|Value23|Value33
r file text
edited Nov 22 '18 at 2:02
Ronak Shah
35.8k103856
asked Nov 22 '18 at 1:59
Abhishek JainAbhishek Jain
11
add a comment |
0
Is there a way to read following type of text file in R
Key1=Value11|Key2=Value21|Key3=Value31|...
Key1=Value12|Key2=Value22|Key3=Value32|...
Key1=Value13|Key2=Value23|Key3=Value33|...
I want to create a data frame like
Key1|Key2|Key3
Value11|Value21|Value31
Value12|Value22|Value32
Value13|Value23|Value33
r file text
edited Nov 22 '18 at 2:02
Ronak Shah
35.8k103856
asked Nov 22 '18 at 1:59
Abhishek JainAbhishek Jain
11
add a comment |
0
0
0
Is there a way to read following type of text file in R
Key1=Value11|Key2=Value21|Key3=Value31|...
Key1=Value12|Key2=Value22|Key3=Value32|...
Key1=Value13|Key2=Value23|Key3=Value33|...
I want to create a data frame like
Key1|Key2|Key3
Value11|Value21|Value31
Value12|Value22|Value32
Value13|Value23|Value33
r file text
edited Nov 22 '18 at 2:02
Ronak Shah
35.8k103856
asked Nov 22 '18 at 1:59
Abhishek JainAbhishek Jain
11
Is there a way to read following type of text file in R
Key1=Value11|Key2=Value21|Key3=Value31|...
Key1=Value12|Key2=Value22|Key3=Value32|...
Key1=Value13|Key2=Value23|Key3=Value33|...
I want to create a data frame like
Key1|Key2|Key3
Value11|Value21|Value31
Value12|Value22|Value32
Value13|Value23|Value33
r file text
r file text
edited Nov 22 '18 at 2:02
Ronak Shah
35.8k103856
asked Nov 22 '18 at 1:59
Abhishek JainAbhishek Jain
11
edited Nov 22 '18 at 2:02
Ronak Shah
35.8k103856
asked Nov 22 '18 at 1:59
Abhishek JainAbhishek Jain
11
edited Nov 22 '18 at 2:02
Ronak Shah
35.8k103856
edited Nov 22 '18 at 2:02
Ronak Shah
35.8k103856
edited Nov 22 '18 at 2:02
Ronak Shah
35.8k103856
35.8k103856
asked Nov 22 '18 at 1:59
Abhishek JainAbhishek Jain
11
asked Nov 22 '18 at 1:59
Abhishek JainAbhishek Jain
11
asked Nov 22 '18 at 1:59
Abhishek JainAbhishek Jain
11
11
add a comment |
add a comment |
1 Answer
1
active
oldest
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0
Perhaps something like this?
library(dplyr)
read.table(text =
"Key1=Value11|Key2=Value21|Key3=Value31
Key1=Value12|Key2=Value22|Key3=Value32
Key1=Value13|Key2=Value23|Key3=Value33", sep = "|") %>%
mutate_all(funs(gsub("Key\d+=", "", .)))
# V1 V2 V3
#1 Value11 Value21 Value31
#2 Value12 Value22 Value32
#3 Value13 Value23 Value33
Explanation:
read.table(..., sep = "|")reads in your file with|as the field separator.
mutate_all(funs(gsub("Key\d+=", "", .)))removes theKey1=,Key2=,Key3=parts.
answered Nov 22 '18 at 2:32
Maurits EversMaurits Evers
26.5k41533
For completeness, you probably want to setnames(df) <- c("Key1", "Key2", "Key3")
– Mako212
Nov 22 '18 at 2:36
@Mako212 Ah good point. Thanks!
– Maurits Evers
Nov 22 '18 at 2:37
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
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active
oldest
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0
Perhaps something like this?
library(dplyr)
read.table(text =
"Key1=Value11|Key2=Value21|Key3=Value31
Key1=Value12|Key2=Value22|Key3=Value32
Key1=Value13|Key2=Value23|Key3=Value33", sep = "|") %>%
mutate_all(funs(gsub("Key\d+=", "", .)))
# V1 V2 V3
#1 Value11 Value21 Value31
#2 Value12 Value22 Value32
#3 Value13 Value23 Value33
Explanation:
read.table(..., sep = "|")reads in your file with|as the field separator.
mutate_all(funs(gsub("Key\d+=", "", .)))removes theKey1=,Key2=,Key3=parts.
answered Nov 22 '18 at 2:32
Maurits EversMaurits Evers
26.5k41533
For completeness, you probably want to setnames(df) <- c("Key1", "Key2", "Key3")
– Mako212
Nov 22 '18 at 2:36
@Mako212 Ah good point. Thanks!
– Maurits Evers
Nov 22 '18 at 2:37
add a comment |
0
Perhaps something like this?
library(dplyr)
read.table(text =
"Key1=Value11|Key2=Value21|Key3=Value31
Key1=Value12|Key2=Value22|Key3=Value32
Key1=Value13|Key2=Value23|Key3=Value33", sep = "|") %>%
mutate_all(funs(gsub("Key\d+=", "", .)))
# V1 V2 V3
#1 Value11 Value21 Value31
#2 Value12 Value22 Value32
#3 Value13 Value23 Value33
Explanation:
read.table(..., sep = "|")reads in your file with|as the field separator.
mutate_all(funs(gsub("Key\d+=", "", .)))removes theKey1=,Key2=,Key3=parts.
answered Nov 22 '18 at 2:32
Maurits EversMaurits Evers
26.5k41533
For completeness, you probably want to setnames(df) <- c("Key1", "Key2", "Key3")
– Mako212
Nov 22 '18 at 2:36
@Mako212 Ah good point. Thanks!
– Maurits Evers
Nov 22 '18 at 2:37
add a comment |
0
0
0
Perhaps something like this?
library(dplyr)
read.table(text =
"Key1=Value11|Key2=Value21|Key3=Value31
Key1=Value12|Key2=Value22|Key3=Value32
Key1=Value13|Key2=Value23|Key3=Value33", sep = "|") %>%
mutate_all(funs(gsub("Key\d+=", "", .)))
# V1 V2 V3
#1 Value11 Value21 Value31
#2 Value12 Value22 Value32
#3 Value13 Value23 Value33
Explanation:
read.table(..., sep = "|")reads in your file with|as the field separator.
mutate_all(funs(gsub("Key\d+=", "", .)))removes theKey1=,Key2=,Key3=parts.
answered Nov 22 '18 at 2:32
Maurits EversMaurits Evers
26.5k41533
Perhaps something like this?
library(dplyr)
read.table(text =
"Key1=Value11|Key2=Value21|Key3=Value31
Key1=Value12|Key2=Value22|Key3=Value32
Key1=Value13|Key2=Value23|Key3=Value33", sep = "|") %>%
mutate_all(funs(gsub("Key\d+=", "", .)))
# V1 V2 V3
#1 Value11 Value21 Value31
#2 Value12 Value22 Value32
#3 Value13 Value23 Value33
Explanation:
read.table(..., sep = "|")reads in your file with|as the field separator.
mutate_all(funs(gsub("Key\d+=", "", .)))removes theKey1=,Key2=,Key3=parts.
answered Nov 22 '18 at 2:32
Maurits EversMaurits Evers
26.5k41533
answered Nov 22 '18 at 2:32
Maurits EversMaurits Evers
26.5k41533
answered Nov 22 '18 at 2:32
Maurits EversMaurits Evers
26.5k41533
answered Nov 22 '18 at 2:32
Maurits EversMaurits Evers
26.5k41533
26.5k41533
For completeness, you probably want to setnames(df) <- c("Key1", "Key2", "Key3")
– Mako212
Nov 22 '18 at 2:36
@Mako212 Ah good point. Thanks!
– Maurits Evers
Nov 22 '18 at 2:37
add a comment |
For completeness, you probably want to setnames(df) <- c("Key1", "Key2", "Key3")
– Mako212
Nov 22 '18 at 2:36
@Mako212 Ah good point. Thanks!
– Maurits Evers
Nov 22 '18 at 2:37
For completeness, you probably want to set
names(df) <- c("Key1", "Key2", "Key3")– Mako212
Nov 22 '18 at 2:36
For completeness, you probably want to set
names(df) <- c("Key1", "Key2", "Key3")– Mako212
Nov 22 '18 at 2:36
@Mako212 Ah good point. Thanks!
– Maurits Evers
Nov 22 '18 at 2:37
@Mako212 Ah good point. Thanks!
– Maurits Evers
Nov 22 '18 at 2:37
add a comment |
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