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Generate Sequence of Dates and Time for each ID in R
Calculate relative time in C#How to get the current time in PythonWhat do 'real', 'user' and 'sys' mean in the output of time(1)?Add days to JavaScript DateConvert a Unix timestamp to time in JavaScriptHow do I get time of a Python program's execution?Java string to date conversionGet current time and date on AndroidFormatting dates and times with as.POSIXct in RR How to convert numerical hour value to %H:%M:%S and add time to a date
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I'm trying to figure out the way of creating sequence of dates and time in this format: 2018-01-01 01:00 till 2018-03-30 01:00
for each Patient and fill the new empty value with random numbers.
My data look like :
Patients temperature
Patient1 37
Patient2 36
Patient3 35.4
I want to get the data looks like
Patients temperature Time
Patient1 37 2018-01-01 01:00
Patient2 36 2018-01-01 01:00
Patient3 35.4 2018-01-01 01:00
Patient1 NA 2018-01-01 02:00
Patient2 NA 2018-01-01 02:00
Patient3 NA 2018-01-01 02:00
Patient1 NA 2018-01-01 03:00
Patient2 NA 2018-01-01 03:00
Patient3 NA 2018-01-01 03:00
So the Time variable will be till 2018-03-30 01:00 and the temperature can be NA and then I generate random numbers but not repeating the same values of the temperature of each Patient.
I tried this commands but didn't work and I don't know how to assign the time to each Patient
Time <- seq (from=as.POSIXct("2018-1-1 01:00"), to=as.POSIXct("2018-3-30 01:00", tz="UTC"), by="hour")
And I tried too this command but I got error message:
dt = data.table(ID = Sensor7$StationID,Time = seq (from=as.POSIXct("2018-01-01 02:00"), to=as.POSIXct("2018-03-30 01:00",format = "%Y-%m-%d %H:%M",by="hour")))
But it gave me error message:
Error in seq.POSIXt(from = as.POSIXct("2018-01-01 00:00"), to = as.POSIXct("2018-03-30 23:00", :
exactly two of 'to', 'by' and 'length.out' / 'along.with' must be specified
Does anyone have any idea how to get the data in the format I'm looking for pleas?
r time time-series posixct
add a comment |
I'm trying to figure out the way of creating sequence of dates and time in this format: 2018-01-01 01:00 till 2018-03-30 01:00
for each Patient and fill the new empty value with random numbers.
My data look like :
Patients temperature
Patient1 37
Patient2 36
Patient3 35.4
I want to get the data looks like
Patients temperature Time
Patient1 37 2018-01-01 01:00
Patient2 36 2018-01-01 01:00
Patient3 35.4 2018-01-01 01:00
Patient1 NA 2018-01-01 02:00
Patient2 NA 2018-01-01 02:00
Patient3 NA 2018-01-01 02:00
Patient1 NA 2018-01-01 03:00
Patient2 NA 2018-01-01 03:00
Patient3 NA 2018-01-01 03:00
So the Time variable will be till 2018-03-30 01:00 and the temperature can be NA and then I generate random numbers but not repeating the same values of the temperature of each Patient.
I tried this commands but didn't work and I don't know how to assign the time to each Patient
Time <- seq (from=as.POSIXct("2018-1-1 01:00"), to=as.POSIXct("2018-3-30 01:00", tz="UTC"), by="hour")
And I tried too this command but I got error message:
dt = data.table(ID = Sensor7$StationID,Time = seq (from=as.POSIXct("2018-01-01 02:00"), to=as.POSIXct("2018-03-30 01:00",format = "%Y-%m-%d %H:%M",by="hour")))
But it gave me error message:
Error in seq.POSIXt(from = as.POSIXct("2018-01-01 00:00"), to = as.POSIXct("2018-03-30 23:00", :
exactly two of 'to', 'by' and 'length.out' / 'along.with' must be specified
Does anyone have any idea how to get the data in the format I'm looking for pleas?
r time time-series posixct
add a comment |
I'm trying to figure out the way of creating sequence of dates and time in this format: 2018-01-01 01:00 till 2018-03-30 01:00
for each Patient and fill the new empty value with random numbers.
My data look like :
Patients temperature
Patient1 37
Patient2 36
Patient3 35.4
I want to get the data looks like
Patients temperature Time
Patient1 37 2018-01-01 01:00
Patient2 36 2018-01-01 01:00
Patient3 35.4 2018-01-01 01:00
Patient1 NA 2018-01-01 02:00
Patient2 NA 2018-01-01 02:00
Patient3 NA 2018-01-01 02:00
Patient1 NA 2018-01-01 03:00
Patient2 NA 2018-01-01 03:00
Patient3 NA 2018-01-01 03:00
So the Time variable will be till 2018-03-30 01:00 and the temperature can be NA and then I generate random numbers but not repeating the same values of the temperature of each Patient.
I tried this commands but didn't work and I don't know how to assign the time to each Patient
Time <- seq (from=as.POSIXct("2018-1-1 01:00"), to=as.POSIXct("2018-3-30 01:00", tz="UTC"), by="hour")
And I tried too this command but I got error message:
dt = data.table(ID = Sensor7$StationID,Time = seq (from=as.POSIXct("2018-01-01 02:00"), to=as.POSIXct("2018-03-30 01:00",format = "%Y-%m-%d %H:%M",by="hour")))
But it gave me error message:
Error in seq.POSIXt(from = as.POSIXct("2018-01-01 00:00"), to = as.POSIXct("2018-03-30 23:00", :
exactly two of 'to', 'by' and 'length.out' / 'along.with' must be specified
Does anyone have any idea how to get the data in the format I'm looking for pleas?
r time time-series posixct
I'm trying to figure out the way of creating sequence of dates and time in this format: 2018-01-01 01:00 till 2018-03-30 01:00
for each Patient and fill the new empty value with random numbers.
My data look like :
Patients temperature
Patient1 37
Patient2 36
Patient3 35.4
I want to get the data looks like
Patients temperature Time
Patient1 37 2018-01-01 01:00
Patient2 36 2018-01-01 01:00
Patient3 35.4 2018-01-01 01:00
Patient1 NA 2018-01-01 02:00
Patient2 NA 2018-01-01 02:00
Patient3 NA 2018-01-01 02:00
Patient1 NA 2018-01-01 03:00
Patient2 NA 2018-01-01 03:00
Patient3 NA 2018-01-01 03:00
So the Time variable will be till 2018-03-30 01:00 and the temperature can be NA and then I generate random numbers but not repeating the same values of the temperature of each Patient.
I tried this commands but didn't work and I don't know how to assign the time to each Patient
Time <- seq (from=as.POSIXct("2018-1-1 01:00"), to=as.POSIXct("2018-3-30 01:00", tz="UTC"), by="hour")
And I tried too this command but I got error message:
dt = data.table(ID = Sensor7$StationID,Time = seq (from=as.POSIXct("2018-01-01 02:00"), to=as.POSIXct("2018-03-30 01:00",format = "%Y-%m-%d %H:%M",by="hour")))
But it gave me error message:
Error in seq.POSIXt(from = as.POSIXct("2018-01-01 00:00"), to = as.POSIXct("2018-03-30 23:00", :
exactly two of 'to', 'by' and 'length.out' / 'along.with' must be specified
Does anyone have any idea how to get the data in the format I'm looking for pleas?
r time time-series posixct
r time time-series posixct
asked Mar 22 at 23:51
RetaReta
4918
4918
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
You weren't too far off. Try this:
# I reproduce your data:
library(data.table)
data = data.table::fread(input =
"Patients,temperature
Patient1,37
Patient2,36
Patient3,35.4")
library(dplyr)
Time <- seq (from=as.POSIXct("2018-1-1 01:00"), to=as.POSIXct("2018-3-30 01:00", tz="UTC"), by="hour")
And this should do what you want:
data %>%
group_by(Patients) %>%
do(data.frame("temperature" = c(.data$temperature, rep(NA,length(Time) - nrow(.data))), Time))
Thank you!! this is what I was looking for !! Thank you again
– Reta
Mar 23 at 18:09
add a comment |
Here's one way:
dat = data.frame(Patients=paste0("Patients", 1:3), temperature=c(37,36,35.4))
Time = seq(as.POSIXct("2018-01-01 01:00"), as.POSIXct("2018-03-30 01:00"), by="hour")
new.data = data.frame(
Patient = rep(dat$Patients, each=length(Time)),
Time = rep(Time, length(dat$Patients))
)
I'm not sure how you want to generate the random values, but here's a generic method:
new.data$Random.Temperature = rnorm(nrow(new.data), 35, 1)
Thank you so much! it helped
– Reta
Mar 23 at 18:09
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
You weren't too far off. Try this:
# I reproduce your data:
library(data.table)
data = data.table::fread(input =
"Patients,temperature
Patient1,37
Patient2,36
Patient3,35.4")
library(dplyr)
Time <- seq (from=as.POSIXct("2018-1-1 01:00"), to=as.POSIXct("2018-3-30 01:00", tz="UTC"), by="hour")
And this should do what you want:
data %>%
group_by(Patients) %>%
do(data.frame("temperature" = c(.data$temperature, rep(NA,length(Time) - nrow(.data))), Time))
Thank you!! this is what I was looking for !! Thank you again
– Reta
Mar 23 at 18:09
add a comment |
You weren't too far off. Try this:
# I reproduce your data:
library(data.table)
data = data.table::fread(input =
"Patients,temperature
Patient1,37
Patient2,36
Patient3,35.4")
library(dplyr)
Time <- seq (from=as.POSIXct("2018-1-1 01:00"), to=as.POSIXct("2018-3-30 01:00", tz="UTC"), by="hour")
And this should do what you want:
data %>%
group_by(Patients) %>%
do(data.frame("temperature" = c(.data$temperature, rep(NA,length(Time) - nrow(.data))), Time))
Thank you!! this is what I was looking for !! Thank you again
– Reta
Mar 23 at 18:09
add a comment |
You weren't too far off. Try this:
# I reproduce your data:
library(data.table)
data = data.table::fread(input =
"Patients,temperature
Patient1,37
Patient2,36
Patient3,35.4")
library(dplyr)
Time <- seq (from=as.POSIXct("2018-1-1 01:00"), to=as.POSIXct("2018-3-30 01:00", tz="UTC"), by="hour")
And this should do what you want:
data %>%
group_by(Patients) %>%
do(data.frame("temperature" = c(.data$temperature, rep(NA,length(Time) - nrow(.data))), Time))
You weren't too far off. Try this:
# I reproduce your data:
library(data.table)
data = data.table::fread(input =
"Patients,temperature
Patient1,37
Patient2,36
Patient3,35.4")
library(dplyr)
Time <- seq (from=as.POSIXct("2018-1-1 01:00"), to=as.POSIXct("2018-3-30 01:00", tz="UTC"), by="hour")
And this should do what you want:
data %>%
group_by(Patients) %>%
do(data.frame("temperature" = c(.data$temperature, rep(NA,length(Time) - nrow(.data))), Time))
answered Mar 23 at 0:32
Armando RoblesArmando Robles
162
162
Thank you!! this is what I was looking for !! Thank you again
– Reta
Mar 23 at 18:09
add a comment |
Thank you!! this is what I was looking for !! Thank you again
– Reta
Mar 23 at 18:09
Thank you!! this is what I was looking for !! Thank you again
– Reta
Mar 23 at 18:09
Thank you!! this is what I was looking for !! Thank you again
– Reta
Mar 23 at 18:09
add a comment |
Here's one way:
dat = data.frame(Patients=paste0("Patients", 1:3), temperature=c(37,36,35.4))
Time = seq(as.POSIXct("2018-01-01 01:00"), as.POSIXct("2018-03-30 01:00"), by="hour")
new.data = data.frame(
Patient = rep(dat$Patients, each=length(Time)),
Time = rep(Time, length(dat$Patients))
)
I'm not sure how you want to generate the random values, but here's a generic method:
new.data$Random.Temperature = rnorm(nrow(new.data), 35, 1)
Thank you so much! it helped
– Reta
Mar 23 at 18:09
add a comment |
Here's one way:
dat = data.frame(Patients=paste0("Patients", 1:3), temperature=c(37,36,35.4))
Time = seq(as.POSIXct("2018-01-01 01:00"), as.POSIXct("2018-03-30 01:00"), by="hour")
new.data = data.frame(
Patient = rep(dat$Patients, each=length(Time)),
Time = rep(Time, length(dat$Patients))
)
I'm not sure how you want to generate the random values, but here's a generic method:
new.data$Random.Temperature = rnorm(nrow(new.data), 35, 1)
Thank you so much! it helped
– Reta
Mar 23 at 18:09
add a comment |
Here's one way:
dat = data.frame(Patients=paste0("Patients", 1:3), temperature=c(37,36,35.4))
Time = seq(as.POSIXct("2018-01-01 01:00"), as.POSIXct("2018-03-30 01:00"), by="hour")
new.data = data.frame(
Patient = rep(dat$Patients, each=length(Time)),
Time = rep(Time, length(dat$Patients))
)
I'm not sure how you want to generate the random values, but here's a generic method:
new.data$Random.Temperature = rnorm(nrow(new.data), 35, 1)
Here's one way:
dat = data.frame(Patients=paste0("Patients", 1:3), temperature=c(37,36,35.4))
Time = seq(as.POSIXct("2018-01-01 01:00"), as.POSIXct("2018-03-30 01:00"), by="hour")
new.data = data.frame(
Patient = rep(dat$Patients, each=length(Time)),
Time = rep(Time, length(dat$Patients))
)
I'm not sure how you want to generate the random values, but here's a generic method:
new.data$Random.Temperature = rnorm(nrow(new.data), 35, 1)
answered Mar 23 at 0:03
eipi10eipi10
61.1k16111169
61.1k16111169
Thank you so much! it helped
– Reta
Mar 23 at 18:09
add a comment |
Thank you so much! it helped
– Reta
Mar 23 at 18:09
Thank you so much! it helped
– Reta
Mar 23 at 18:09
Thank you so much! it helped
– Reta
Mar 23 at 18:09
add a comment |
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