How to sum variable by month/year in R?
library(dplyr)
library(plotly)
library(lubridate)
googlesearch <- read.csv("multiTimeline.csv", header = FALSE, stringsAsFactors = FALSE)
googlesearch2 <- googlesearch [-1, ]
googlesearch2 <- googlesearch2 [-1, ]
colnames(googlesearch2)[1] <- 'Date'
colnames(googlesearch2)[2] <- 'NumberofSearch'
googlesearch2$Date <- as.Date(googlesearch2$Date)
googlesearch2 <- googlesearch2 %>%
filter(Date > "2015-01-04" & Date < "2018-05-27")
googlesearch3 <- googlesearch2 %>%
transform(googlesearch2$Date, Date = as.Date(as.character(Date), "%Y-%m-%d"))
googlesearch3 <- googlesearch2 %>%
mutate(month = format(Date, "%m"), year = format(Date, "%Y")) %>%
group_by(Date, yearMon = as.yearmon(Date, "%m-%d-%Y"))
googlesearch3$Date <- as.numeric(googlesearch3$NumberofSearch)
googlesearch3 <- googlesearch3 %>%
mutate(month = format(Date, "%m"), year = format(Date, "%Y")) %>%
group_by(Date, yearMon = as.yearmon(Date, "%m-%d-%Y")) %>%
summarise(NumberofSearch_sum = sum(NumberofSearch))
data <- tbl_df(googlesearch3)
data %>%
group_by(yearMon) %>%
summarise(NumberofSearch_mon = sum(NumberofSearch))
I know this is messy.
I'm getting this error and I don't know why.Adding the sample code.
Error in summarise_impl(.data, dots) :
Evaluation error: invalid 'type' (character) of argument.
r dplyr lubridate
add a comment |
library(dplyr)
library(plotly)
library(lubridate)
googlesearch <- read.csv("multiTimeline.csv", header = FALSE, stringsAsFactors = FALSE)
googlesearch2 <- googlesearch [-1, ]
googlesearch2 <- googlesearch2 [-1, ]
colnames(googlesearch2)[1] <- 'Date'
colnames(googlesearch2)[2] <- 'NumberofSearch'
googlesearch2$Date <- as.Date(googlesearch2$Date)
googlesearch2 <- googlesearch2 %>%
filter(Date > "2015-01-04" & Date < "2018-05-27")
googlesearch3 <- googlesearch2 %>%
transform(googlesearch2$Date, Date = as.Date(as.character(Date), "%Y-%m-%d"))
googlesearch3 <- googlesearch2 %>%
mutate(month = format(Date, "%m"), year = format(Date, "%Y")) %>%
group_by(Date, yearMon = as.yearmon(Date, "%m-%d-%Y"))
googlesearch3$Date <- as.numeric(googlesearch3$NumberofSearch)
googlesearch3 <- googlesearch3 %>%
mutate(month = format(Date, "%m"), year = format(Date, "%Y")) %>%
group_by(Date, yearMon = as.yearmon(Date, "%m-%d-%Y")) %>%
summarise(NumberofSearch_sum = sum(NumberofSearch))
data <- tbl_df(googlesearch3)
data %>%
group_by(yearMon) %>%
summarise(NumberofSearch_mon = sum(NumberofSearch))
I know this is messy.
I'm getting this error and I don't know why.Adding the sample code.
Error in summarise_impl(.data, dots) :
Evaluation error: invalid 'type' (character) of argument.
r dplyr lubridate
googlesearch3$Date <- as.numeric(googlesearch3$NumberofSearch)
double check that line. were you trying to convertNumberofSearch
to numerica? it looks like you convertedDate
to numeric
– Wally Ali
Nov 19 '18 at 6:56
Welcome to Stack Overflow! Could you make your problem reproducible by sharing a sample of your data so others can help (please do not usestr()
,head()
or screenshot)? You can use thereprex
anddatapasta
packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?
– Tung
Nov 19 '18 at 9:28
add a comment |
library(dplyr)
library(plotly)
library(lubridate)
googlesearch <- read.csv("multiTimeline.csv", header = FALSE, stringsAsFactors = FALSE)
googlesearch2 <- googlesearch [-1, ]
googlesearch2 <- googlesearch2 [-1, ]
colnames(googlesearch2)[1] <- 'Date'
colnames(googlesearch2)[2] <- 'NumberofSearch'
googlesearch2$Date <- as.Date(googlesearch2$Date)
googlesearch2 <- googlesearch2 %>%
filter(Date > "2015-01-04" & Date < "2018-05-27")
googlesearch3 <- googlesearch2 %>%
transform(googlesearch2$Date, Date = as.Date(as.character(Date), "%Y-%m-%d"))
googlesearch3 <- googlesearch2 %>%
mutate(month = format(Date, "%m"), year = format(Date, "%Y")) %>%
group_by(Date, yearMon = as.yearmon(Date, "%m-%d-%Y"))
googlesearch3$Date <- as.numeric(googlesearch3$NumberofSearch)
googlesearch3 <- googlesearch3 %>%
mutate(month = format(Date, "%m"), year = format(Date, "%Y")) %>%
group_by(Date, yearMon = as.yearmon(Date, "%m-%d-%Y")) %>%
summarise(NumberofSearch_sum = sum(NumberofSearch))
data <- tbl_df(googlesearch3)
data %>%
group_by(yearMon) %>%
summarise(NumberofSearch_mon = sum(NumberofSearch))
I know this is messy.
I'm getting this error and I don't know why.Adding the sample code.
Error in summarise_impl(.data, dots) :
Evaluation error: invalid 'type' (character) of argument.
r dplyr lubridate
library(dplyr)
library(plotly)
library(lubridate)
googlesearch <- read.csv("multiTimeline.csv", header = FALSE, stringsAsFactors = FALSE)
googlesearch2 <- googlesearch [-1, ]
googlesearch2 <- googlesearch2 [-1, ]
colnames(googlesearch2)[1] <- 'Date'
colnames(googlesearch2)[2] <- 'NumberofSearch'
googlesearch2$Date <- as.Date(googlesearch2$Date)
googlesearch2 <- googlesearch2 %>%
filter(Date > "2015-01-04" & Date < "2018-05-27")
googlesearch3 <- googlesearch2 %>%
transform(googlesearch2$Date, Date = as.Date(as.character(Date), "%Y-%m-%d"))
googlesearch3 <- googlesearch2 %>%
mutate(month = format(Date, "%m"), year = format(Date, "%Y")) %>%
group_by(Date, yearMon = as.yearmon(Date, "%m-%d-%Y"))
googlesearch3$Date <- as.numeric(googlesearch3$NumberofSearch)
googlesearch3 <- googlesearch3 %>%
mutate(month = format(Date, "%m"), year = format(Date, "%Y")) %>%
group_by(Date, yearMon = as.yearmon(Date, "%m-%d-%Y")) %>%
summarise(NumberofSearch_sum = sum(NumberofSearch))
data <- tbl_df(googlesearch3)
data %>%
group_by(yearMon) %>%
summarise(NumberofSearch_mon = sum(NumberofSearch))
I know this is messy.
I'm getting this error and I don't know why.Adding the sample code.
Error in summarise_impl(.data, dots) :
Evaluation error: invalid 'type' (character) of argument.
r dplyr lubridate
r dplyr lubridate
edited Nov 19 '18 at 9:25
sai saran
358224
358224
asked Nov 19 '18 at 6:51
kekeke355kekeke355
1
1
googlesearch3$Date <- as.numeric(googlesearch3$NumberofSearch)
double check that line. were you trying to convertNumberofSearch
to numerica? it looks like you convertedDate
to numeric
– Wally Ali
Nov 19 '18 at 6:56
Welcome to Stack Overflow! Could you make your problem reproducible by sharing a sample of your data so others can help (please do not usestr()
,head()
or screenshot)? You can use thereprex
anddatapasta
packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?
– Tung
Nov 19 '18 at 9:28
add a comment |
googlesearch3$Date <- as.numeric(googlesearch3$NumberofSearch)
double check that line. were you trying to convertNumberofSearch
to numerica? it looks like you convertedDate
to numeric
– Wally Ali
Nov 19 '18 at 6:56
Welcome to Stack Overflow! Could you make your problem reproducible by sharing a sample of your data so others can help (please do not usestr()
,head()
or screenshot)? You can use thereprex
anddatapasta
packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?
– Tung
Nov 19 '18 at 9:28
googlesearch3$Date <- as.numeric(googlesearch3$NumberofSearch)
double check that line. were you trying to convert NumberofSearch
to numerica? it looks like you converted Date
to numeric– Wally Ali
Nov 19 '18 at 6:56
googlesearch3$Date <- as.numeric(googlesearch3$NumberofSearch)
double check that line. were you trying to convert NumberofSearch
to numerica? it looks like you converted Date
to numeric– Wally Ali
Nov 19 '18 at 6:56
Welcome to Stack Overflow! Could you make your problem reproducible by sharing a sample of your data so others can help (please do not use
str()
, head()
or screenshot)? You can use the reprex
and datapasta
packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?– Tung
Nov 19 '18 at 9:28
Welcome to Stack Overflow! Could you make your problem reproducible by sharing a sample of your data so others can help (please do not use
str()
, head()
or screenshot)? You can use the reprex
and datapasta
packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?– Tung
Nov 19 '18 at 9:28
add a comment |
1 Answer
1
active
oldest
votes
In lack of a reproducible example, try to replace the last code chunk of you sample code with:
library(hablar)
data %>%
retype() %>%
group_by(yearMon) %>%
summarise(NumberofSearch_mon = sum(NumberofSearch))
Maybe it works :)
add a comment |
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1 Answer
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1 Answer
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active
oldest
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In lack of a reproducible example, try to replace the last code chunk of you sample code with:
library(hablar)
data %>%
retype() %>%
group_by(yearMon) %>%
summarise(NumberofSearch_mon = sum(NumberofSearch))
Maybe it works :)
add a comment |
In lack of a reproducible example, try to replace the last code chunk of you sample code with:
library(hablar)
data %>%
retype() %>%
group_by(yearMon) %>%
summarise(NumberofSearch_mon = sum(NumberofSearch))
Maybe it works :)
add a comment |
In lack of a reproducible example, try to replace the last code chunk of you sample code with:
library(hablar)
data %>%
retype() %>%
group_by(yearMon) %>%
summarise(NumberofSearch_mon = sum(NumberofSearch))
Maybe it works :)
In lack of a reproducible example, try to replace the last code chunk of you sample code with:
library(hablar)
data %>%
retype() %>%
group_by(yearMon) %>%
summarise(NumberofSearch_mon = sum(NumberofSearch))
Maybe it works :)
answered Nov 19 '18 at 12:05
davsjobdavsjob
56236
56236
add a comment |
add a comment |
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googlesearch3$Date <- as.numeric(googlesearch3$NumberofSearch)
double check that line. were you trying to convertNumberofSearch
to numerica? it looks like you convertedDate
to numeric– Wally Ali
Nov 19 '18 at 6:56
Welcome to Stack Overflow! Could you make your problem reproducible by sharing a sample of your data so others can help (please do not use
str()
,head()
or screenshot)? You can use thereprex
anddatapasta
packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?– Tung
Nov 19 '18 at 9:28