Calculating the probability that the Signature column has the status “Y” in the last 30 days
$begingroup$
I am doing this formula in R:
for (i in 1:ifinal)
{
df$FPRateSignature30d[i] <-
length(
which(
df$status == "Y" &
` df$Signature==df$Signature[i]& df$date>= (as_datetime(df$date[i])duration(30, days')) &` df$date <
as_datetime(df$date[i])
)
) / length(which(
df$Signature == df$Signature[i] &
df$date >= (as_datetime(df$date[i]) - duration(30, 'days')) &
``df$date < as_datetime(df$date[i])
))
}
but I have ~350K of rows in the real data, and takes me a lot doing this with for loops.
Here it is the data sample:
df <- data.frame(c("1","2","3","4","5","6"),c("Attribute1", "Attribute1", "Attribute2", "Attribute2", "Attribute2", "Attribute1"),
c("2018-11-01 00:00:19", "2018-10-25 00:00:54", "2018-11-01 10:03:27",
"2018-11-01 00:01:23", "2018-11-01 00:01:25","2018-10-21 00:00:55"), c("Y","Y","Y","N","Y","N"))
names(df) <- c("ID","Signature", "date", "status")
df$date <- as.POSIXct(df$date)
ifinal<-nrow(df)
Do you know any other way to do it maybe applying a function?
r
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$endgroup$
add a comment |
$begingroup$
I am doing this formula in R:
for (i in 1:ifinal)
{
df$FPRateSignature30d[i] <-
length(
which(
df$status == "Y" &
` df$Signature==df$Signature[i]& df$date>= (as_datetime(df$date[i])duration(30, days')) &` df$date <
as_datetime(df$date[i])
)
) / length(which(
df$Signature == df$Signature[i] &
df$date >= (as_datetime(df$date[i]) - duration(30, 'days')) &
``df$date < as_datetime(df$date[i])
))
}
but I have ~350K of rows in the real data, and takes me a lot doing this with for loops.
Here it is the data sample:
df <- data.frame(c("1","2","3","4","5","6"),c("Attribute1", "Attribute1", "Attribute2", "Attribute2", "Attribute2", "Attribute1"),
c("2018-11-01 00:00:19", "2018-10-25 00:00:54", "2018-11-01 10:03:27",
"2018-11-01 00:01:23", "2018-11-01 00:01:25","2018-10-21 00:00:55"), c("Y","Y","Y","N","Y","N"))
names(df) <- c("ID","Signature", "date", "status")
df$date <- as.POSIXct(df$date)
ifinal<-nrow(df)
Do you know any other way to do it maybe applying a function?
r
New contributor
user190888 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I am doing this formula in R:
for (i in 1:ifinal)
{
df$FPRateSignature30d[i] <-
length(
which(
df$status == "Y" &
` df$Signature==df$Signature[i]& df$date>= (as_datetime(df$date[i])duration(30, days')) &` df$date <
as_datetime(df$date[i])
)
) / length(which(
df$Signature == df$Signature[i] &
df$date >= (as_datetime(df$date[i]) - duration(30, 'days')) &
``df$date < as_datetime(df$date[i])
))
}
but I have ~350K of rows in the real data, and takes me a lot doing this with for loops.
Here it is the data sample:
df <- data.frame(c("1","2","3","4","5","6"),c("Attribute1", "Attribute1", "Attribute2", "Attribute2", "Attribute2", "Attribute1"),
c("2018-11-01 00:00:19", "2018-10-25 00:00:54", "2018-11-01 10:03:27",
"2018-11-01 00:01:23", "2018-11-01 00:01:25","2018-10-21 00:00:55"), c("Y","Y","Y","N","Y","N"))
names(df) <- c("ID","Signature", "date", "status")
df$date <- as.POSIXct(df$date)
ifinal<-nrow(df)
Do you know any other way to do it maybe applying a function?
r
New contributor
user190888 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am doing this formula in R:
for (i in 1:ifinal)
{
df$FPRateSignature30d[i] <-
length(
which(
df$status == "Y" &
` df$Signature==df$Signature[i]& df$date>= (as_datetime(df$date[i])duration(30, days')) &` df$date <
as_datetime(df$date[i])
)
) / length(which(
df$Signature == df$Signature[i] &
df$date >= (as_datetime(df$date[i]) - duration(30, 'days')) &
``df$date < as_datetime(df$date[i])
))
}
but I have ~350K of rows in the real data, and takes me a lot doing this with for loops.
Here it is the data sample:
df <- data.frame(c("1","2","3","4","5","6"),c("Attribute1", "Attribute1", "Attribute2", "Attribute2", "Attribute2", "Attribute1"),
c("2018-11-01 00:00:19", "2018-10-25 00:00:54", "2018-11-01 10:03:27",
"2018-11-01 00:01:23", "2018-11-01 00:01:25","2018-10-21 00:00:55"), c("Y","Y","Y","N","Y","N"))
names(df) <- c("ID","Signature", "date", "status")
df$date <- as.POSIXct(df$date)
ifinal<-nrow(df)
Do you know any other way to do it maybe applying a function?
r
r
New contributor
user190888 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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user190888 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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edited 7 hours ago
Jamal♦
30.3k11116226
30.3k11116226
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asked 7 hours ago
user190888user190888
1
1
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