Warning & Error when “filling missing data” in R
I asked two questions before about filling missing data:
(Ⅰ)Question_one
(Ⅱ)Question_two
It almost succeed when I follow the advice but still have one warning and one error.
I use codes below to import data from Excel. (You can download this file in this Google Drive website):
#read form clipborad, which is copied in "Example_a.xlsx"
# read dt_A
dt_A <- read.delim("clipboard",header=TRUE)
# read dt_B
dt_B <- read.delim("clipboard",header=TRUE)
Then, I change the charcter into "Date" format:
#Change "Date" to date format
as.POSIXct(dt_A$Date, format="%m/%d/%Y %H:%M")
as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
However, when I use "complete" (adviced by AntoniosK) to fill the missing date, a warning occurs.
library(tidyverse)
# complete dates of data B using dates of data A
df <- dt_B %>% complete(Date = dt_A[1])
The warning is:
Warning message:
Column `Date` joining factors with different levels, coercing to character vector
However, df seems to meet the expectation (Fig.1). Then, I ignore this warning and use codes adviced by Jay Achar:
library(dplyr)
library(lubridate)
df %>%
mutate(B_Value = ifelse(is.na(B_Value),
lag(B_Value, 1) + (lead(B_Value, 1) - lag(B_Value, 1)) *
as.numeric(difftime(Date, lag(Date, 1))) /
as.numeric((difftime(lead(Date, 1), Date) + difftime(Date, lag(Date, 1)))),
B_Value)) %>%
mutate(B_Value = round(B_Value, 2))
There occurs an error:
Error in mutate_impl(.data, dots) :
Evaluation error: character string is not in a standard unambiguous format.
Could you teach me why there is a warning & an error?
r datetime
add a comment |
I asked two questions before about filling missing data:
(Ⅰ)Question_one
(Ⅱ)Question_two
It almost succeed when I follow the advice but still have one warning and one error.
I use codes below to import data from Excel. (You can download this file in this Google Drive website):
#read form clipborad, which is copied in "Example_a.xlsx"
# read dt_A
dt_A <- read.delim("clipboard",header=TRUE)
# read dt_B
dt_B <- read.delim("clipboard",header=TRUE)
Then, I change the charcter into "Date" format:
#Change "Date" to date format
as.POSIXct(dt_A$Date, format="%m/%d/%Y %H:%M")
as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
However, when I use "complete" (adviced by AntoniosK) to fill the missing date, a warning occurs.
library(tidyverse)
# complete dates of data B using dates of data A
df <- dt_B %>% complete(Date = dt_A[1])
The warning is:
Warning message:
Column `Date` joining factors with different levels, coercing to character vector
However, df seems to meet the expectation (Fig.1). Then, I ignore this warning and use codes adviced by Jay Achar:
library(dplyr)
library(lubridate)
df %>%
mutate(B_Value = ifelse(is.na(B_Value),
lag(B_Value, 1) + (lead(B_Value, 1) - lag(B_Value, 1)) *
as.numeric(difftime(Date, lag(Date, 1))) /
as.numeric((difftime(lead(Date, 1), Date) + difftime(Date, lag(Date, 1)))),
B_Value)) %>%
mutate(B_Value = round(B_Value, 2))
There occurs an error:
Error in mutate_impl(.data, dots) :
Evaluation error: character string is not in a standard unambiguous format.
Could you teach me why there is a warning & an error?
r datetime
1
as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
this should bedt_B$Date <- as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
– zx8754
Nov 15 '18 at 7:24
add a comment |
I asked two questions before about filling missing data:
(Ⅰ)Question_one
(Ⅱ)Question_two
It almost succeed when I follow the advice but still have one warning and one error.
I use codes below to import data from Excel. (You can download this file in this Google Drive website):
#read form clipborad, which is copied in "Example_a.xlsx"
# read dt_A
dt_A <- read.delim("clipboard",header=TRUE)
# read dt_B
dt_B <- read.delim("clipboard",header=TRUE)
Then, I change the charcter into "Date" format:
#Change "Date" to date format
as.POSIXct(dt_A$Date, format="%m/%d/%Y %H:%M")
as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
However, when I use "complete" (adviced by AntoniosK) to fill the missing date, a warning occurs.
library(tidyverse)
# complete dates of data B using dates of data A
df <- dt_B %>% complete(Date = dt_A[1])
The warning is:
Warning message:
Column `Date` joining factors with different levels, coercing to character vector
However, df seems to meet the expectation (Fig.1). Then, I ignore this warning and use codes adviced by Jay Achar:
library(dplyr)
library(lubridate)
df %>%
mutate(B_Value = ifelse(is.na(B_Value),
lag(B_Value, 1) + (lead(B_Value, 1) - lag(B_Value, 1)) *
as.numeric(difftime(Date, lag(Date, 1))) /
as.numeric((difftime(lead(Date, 1), Date) + difftime(Date, lag(Date, 1)))),
B_Value)) %>%
mutate(B_Value = round(B_Value, 2))
There occurs an error:
Error in mutate_impl(.data, dots) :
Evaluation error: character string is not in a standard unambiguous format.
Could you teach me why there is a warning & an error?
r datetime
I asked two questions before about filling missing data:
(Ⅰ)Question_one
(Ⅱ)Question_two
It almost succeed when I follow the advice but still have one warning and one error.
I use codes below to import data from Excel. (You can download this file in this Google Drive website):
#read form clipborad, which is copied in "Example_a.xlsx"
# read dt_A
dt_A <- read.delim("clipboard",header=TRUE)
# read dt_B
dt_B <- read.delim("clipboard",header=TRUE)
Then, I change the charcter into "Date" format:
#Change "Date" to date format
as.POSIXct(dt_A$Date, format="%m/%d/%Y %H:%M")
as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
However, when I use "complete" (adviced by AntoniosK) to fill the missing date, a warning occurs.
library(tidyverse)
# complete dates of data B using dates of data A
df <- dt_B %>% complete(Date = dt_A[1])
The warning is:
Warning message:
Column `Date` joining factors with different levels, coercing to character vector
However, df seems to meet the expectation (Fig.1). Then, I ignore this warning and use codes adviced by Jay Achar:
library(dplyr)
library(lubridate)
df %>%
mutate(B_Value = ifelse(is.na(B_Value),
lag(B_Value, 1) + (lead(B_Value, 1) - lag(B_Value, 1)) *
as.numeric(difftime(Date, lag(Date, 1))) /
as.numeric((difftime(lead(Date, 1), Date) + difftime(Date, lag(Date, 1)))),
B_Value)) %>%
mutate(B_Value = round(B_Value, 2))
There occurs an error:
Error in mutate_impl(.data, dots) :
Evaluation error: character string is not in a standard unambiguous format.
Could you teach me why there is a warning & an error?
r datetime
r datetime
edited Nov 15 '18 at 7:26
zx8754
30.2k763101
30.2k763101
asked Nov 15 '18 at 7:06
T XT X
128116
128116
1
as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
this should bedt_B$Date <- as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
– zx8754
Nov 15 '18 at 7:24
add a comment |
1
as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
this should bedt_B$Date <- as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
– zx8754
Nov 15 '18 at 7:24
1
1
as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
this should be dt_B$Date <- as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
– zx8754
Nov 15 '18 at 7:24
as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
this should be dt_B$Date <- as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
– zx8754
Nov 15 '18 at 7:24
add a comment |
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as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
this should bedt_B$Date <- as.POSIXct(dt_B$Date, format="%m/%d/%Y %H:%M")
– zx8754
Nov 15 '18 at 7:24