FAQ
Hi All,

I need to build a binary vector made of a set of dichotomous variables.

What I have so far is:

-- cut --

ds_example <-
structure(
list(
year2013 = c(0, 0, 0, 1, 1, 1, 1, 0),
year2014 = c(0,
0, 1, 1, 0, 0, 1, 1),
year2015 = c(0, 1, 1, 1, 0, 1, 0, 0)
),
.Names = c("year2013",
"year2014", "year2015"),
row.names = c(NA, 8L),
class = "data.frame"
)

attach(ds_example)
base <- 1000
binary_vector <- base + year2013 * 100 + year2014 * 10 + year2015
detach(ds_example)

binary_vector

ds_example <- cbind(ds_example, binary_vector)

varlist <- c("year2013", "year2014", "year2015")

base <- 10^length(varlist)

binary_vector <- NULL

for (i in 1:3) {
binary_vector <-
base +
ds_example [[varlist[i]]] * base / (10 ^ i)
}

ds_example <- cbind(ds_example, binary_vector)

message("Wrong result!")
ds_example

-- cut --

How do I get vectors like 1000 1001 1011 1111 1100 1101 1110 1010 for
each case?

Is there a better approach than mine?

Kind regards

Georg

## Search Discussions

•  at Jun 16, 2016 at 2:13 pm ⇧
Does this do what you want?

as.numeric(with(ds_example,paste(1,year2013,year2014,year2015,sep='')))

On Thu, Jun 16, 2016 at 8:57 AM, wrote:
Hi All,

I need to build a binary vector made of a set of dichotomous variables.

What I have so far is:

-- cut --

ds_example <-
structure(
list(
year2013 = c(0, 0, 0, 1, 1, 1, 1, 0),
year2014 = c(0,
0, 1, 1, 0, 0, 1, 1),
year2015 = c(0, 1, 1, 1, 0, 1, 0, 0)
),
.Names = c("year2013",
"year2014", "year2015"),
row.names = c(NA, 8L),
class = "data.frame"
)

attach(ds_example)
base <- 1000
binary_vector <- base + year2013 * 100 + year2014 * 10 + year2015
detach(ds_example)

binary_vector

ds_example <- cbind(ds_example, binary_vector)

varlist <- c("year2013", "year2014", "year2015")

base <- 10^length(varlist)

binary_vector <- NULL

for (i in 1:3) {
binary_vector <-
base +
ds_example [[varlist[i]]] * base / (10 ^ i)
}

ds_example <- cbind(ds_example, binary_vector)

message("Wrong result!")
ds_example

-- cut --

How do I get vectors like 1000 1001 1011 1111 1100 1101 1110 1010 for
each case?

Is there a better approach than mine?

Kind regards

Georg

______________________________________________
R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
and provide commented, minimal, self-contained, reproducible code.
•  at Jun 17, 2016 at 7:19 am ⇧
Hi Tom,

Yes, that's exactly what I am looking for. I did not know about the automatic type conversion in R.

#-- cut --
ds_example <-
structure(
list(
year2013 = c(0, 0, 0, 1, 1, 1, 1, 0),
year2014 = c(0,
0, 1, 1, 0, 0, 1, 1),
year2015 = c(0, 1, 1, 1, 0, 1, 0, 0)
),
.Names = c("year2013",
"year2014", "year2015"),
row.names = c(NA, 8L),
class = "data.frame"
)

#-- Proposal: works!
as.numeric(with(ds_example,paste(1,year2013,year2014,year2015,sep='')))

# I store my know-how about R in functions for later use.

#--? Putting it in a function - does not work!
t_make_binary_vector <- function(dataset,
input_variables,
output_variable = "binary_vector") {
dataset[output_variable] <- "1"
print(dataset[output_variable])

for (variable in input_variables) {
print(variable)
dataset[output_variable] <- paste(dataset[output_variable],
dataset[variable],
sep='')
}

# print(dataset[output_variable])

dataset[output_variable] <- as.integer(dataset[output_variable])

return(dataset)
}

t_make_binary_vector(dataset = ds_example,
input_variables = c("year2013", "year2014", "year2015"),
output_variable = "binary_vector")

#-- Doesn't work either.
t_make_binary_vector <- function(dataset,
input_variables,
output_variable = "binary_vector") {
dataset[output_variable] <- as.integer(paste(1, dataset[ , input_variables], sep = ''))

return(dataset)
}

t_make_binary_vector(dataset = ds_example,
input_variables = c("year2013", "year2014", "year2015"),
output_variable = "binary_vector")

#-- cut --

Why is R taking the parameter value itself to paste it together instead of referencing the variable within the dataset?

What did I get wrong about R? How can I fix it?

Kind regards

Georg

Gesendet: Donnerstag, 16. Juni 2016 um 16:13 Uhr
An: G.Maubach at weinwolf.de
Cc: "R. Help" <r-help@r-project.org>
Betreff: Re: [R] Building a binary vector out of dichotomous variables

Does this do what you want?

as.numeric(with(ds_example,paste(1,year2013,year2014,year2015,sep='')))
On Thu, Jun 16, 2016 at 8:57 AM, wrote:
Hi All,

I need to build a binary vector made of a set of dichotomous variables.

What I have so far is:

-- cut --

ds_example <-
structure(
list(
year2013 = c(0, 0, 0, 1, 1, 1, 1, 0),
year2014 = c(0,
0, 1, 1, 0, 0, 1, 1),
year2015 = c(0, 1, 1, 1, 0, 1, 0, 0)
),
.Names = c("year2013",
"year2014", "year2015"),
row.names = c(NA, 8L),
class = "data.frame"
)

attach(ds_example)
base <- 1000
binary_vector <- base + year2013 * 100 + year2014 * 10 + year2015
detach(ds_example)

binary_vector

ds_example <- cbind(ds_example, binary_vector)

varlist <- c("year2013", "year2014", "year2015")

base <- 10^length(varlist)

binary_vector <- NULL

for (i in 1:3) {
binary_vector <-
base +
ds_example [[varlist[i]]] * base / (10 ^ i)
}

ds_example <- cbind(ds_example, binary_vector)

message("Wrong result!")
ds_example

-- cut --

How do I get vectors like 1000 1001 1011 1111 1100 1101 1110 1010 for
each case?

Is there a better approach than mine?

Kind regards

Georg

______________________________________________
R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
and provide commented, minimal, self-contained, reproducible code.
•  at Jun 17, 2016 at 8:34 am ⇧
Hi

Your approach seems to me rather tricky

This should work

make_bv <- function(dataset, input_variables) {

dd <- which(names(dataset) %in% input_variables)
dat<-dataset[,dd]
x <- 10^(ncol(dat):0)
result <- cbind(dataset, binary_vec=x[1]+rowSums(sweep(dat, 2, x[-1], "*")))
result}

make_bv(dataset = ds_example, input_variables = c("year2013", "year2015"))

Cheers
Petr

-----Original Message-----
From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of
G.Maubach at gmx.de
Sent: Friday, June 17, 2016 9:19 AM
To: r-help at r-project.org
Subject: [R] Fw: Aw: Re: Building a binary vector out of dichotomous variables
Hi Tom,

Yes, that's exactly what I am looking for. I did not know about the
automatic type conversion in R.
#-- cut --
ds_example <-
structure(
list(
year2013 = c(0, 0, 0, 1, 1, 1, 1, 0),
year2014 = c(0,
0, 1, 1, 0, 0, 1, 1),
year2015 = c(0, 1, 1, 1, 0, 1, 0, 0)
),
.Names = c("year2013",
"year2014", "year2015"),
row.names = c(NA, 8L),
class = "data.frame"
)

#-- Proposal: works!
as.numeric(with(ds_example,paste(1,year2013,year2014,year2015,sep=''))
)

# I store my know-how about R in functions for later use.

#--? Putting it in a function - does not work!
t_make_binary_vector <- function(dataset,
input_variables,
output_variable = "binary_vector") {
dataset[output_variable] <- "1"
print(dataset[output_variable])

for (variable in input_variables) {
print(variable)
dataset[output_variable] <- paste(dataset[output_variable],
dataset[variable],
sep='')
}

# print(dataset[output_variable])

dataset[output_variable] <- as.integer(dataset[output_variable])

return(dataset)
}

t_make_binary_vector(dataset = ds_example,
input_variables = c("year2013", "year2014", "year2015"),
output_variable = "binary_vector")

#-- Doesn't work either.
t_make_binary_vector <- function(dataset,
input_variables,
output_variable = "binary_vector") {
dataset[output_variable] <- as.integer(paste(1, dataset[ ,
input_variables], sep = ''))

return(dataset)
}

t_make_binary_vector(dataset = ds_example,
input_variables = c("year2013", "year2014", "year2015"),
output_variable = "binary_vector")

#-- cut --

Why is R taking the parameter value itself to paste it together instead of
referencing the variable within the dataset?
What did I get wrong about R? How can I fix it?

Kind regards

Georg

Gesendet: Donnerstag, 16. Juni 2016 um 16:13 Uhr
An: G.Maubach at weinwolf.de
Cc: "R. Help" <r-help@r-project.org>
Betreff: Re: [R] Building a binary vector out of dichotomous
variables

Does this do what you want?

as.numeric(with(ds_example,paste(1,year2013,year2014,year2015,sep=''
)))
On Thu, Jun 16, 2016 at 8:57 AM, wrote:
Hi All,

I need to build a binary vector made of a set of dichotomous variables.

What I have so far is:

-- cut --

ds_example <-
structure(
list(
year2013 = c(0, 0, 0, 1, 1, 1, 1, 0),
year2014 = c(0,
0, 1, 1, 0, 0, 1, 1),
year2015 = c(0, 1, 1, 1, 0, 1, 0, 0)
),
.Names = c("year2013",
"year2014", "year2015"),
row.names = c(NA, 8L),
class = "data.frame"
)

attach(ds_example)
base <- 1000
binary_vector <- base + year2013 * 100 + year2014 * 10 + year2015
detach(ds_example)

binary_vector

ds_example <- cbind(ds_example, binary_vector)

varlist <- c("year2013", "year2014", "year2015")

base <- 10^length(varlist)

binary_vector <- NULL

for (i in 1:3) {
binary_vector <-
base +
ds_example [[varlist[i]]] * base / (10 ^ i) }

ds_example <- cbind(ds_example, binary_vector)

message("Wrong result!")
ds_example

-- cut --

How do I get vectors like 1000 1001 1011 1111 1100 1101 1110 1010
for each case?

Is there a better approach than mine?

Kind regards

Georg

______________________________________________
R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
guide.html
and provide commented, minimal, self-contained, reproducible code.

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 group r-help categories r posted Jun 16, '16 at 12:57p active Jun 17, '16 at 8:34a posts 4 users 4 website r-project.org irc #r

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