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I know this has been asked here, but i did according to several answers but still received NA value, or value changed my year 2016 into 2020.
I need to convert factor into date. I tried as.Date function
Reporting_Raw_Data$Click_Date <- as.Date(Reporting_Raw_Data$Click_Date,"%d%m%y")
also tried:
Reporting_Raw_Data$Submit_Date <- as.Date(Reporting_Raw_Data$Submit_Date,format="%d-%m-%Y")
also:
Reporting_Raw_Data$Approve_Date <- as.Date(Reporting_Raw_Data$Approve_Date, format="%d-%m-%y")
I also tried POSIXct:
Reporting_Raw_Data$Click_Date <- format(as.POSIXct(strptime(Reporting_Raw_Data$Click_Date,
"%Y-%M-%D %H:%M:%S",tz="")),
format = "%Y-%M-%D")
also tried ymd_hms
Reporting_Raw_Data$Click_Date <- ymd_hms(Reporting_Raw_Data$Click_Date)
None gave me correct conversion.
sample table looks like below:
Click_Date
8/16/2016
8/7/2016
Maybe this could work:
Click_Date <- factor(c("8/16/2016",
"8/7/2016"))
strptime(as.character(Click_Date), "%m/%e/%Y")
This works fine for me:
as.POSIXct(x, format="%m/%d/%Y")
This is a data format knowledge issue.
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Is there a way to change the date format in R. Example, when I tried with below formula to convert, it was not showing a right result
format(as.Date("30-01-2021"), "%Y/%d/%m")
"0030/20/01"
Expected output
"2021-01-30"
The lubridate package works really well for this kind of formatting.
#Load library
library('lubridate')
# Convert date format
lubridate::dmy("30-01-2021")
The reason it is not working is because your date string is not in the default date format. The default is "%Y-%m-%d" but your string is "%d-%m-%Y". So you can fix it by specifying the input date format on the as.Date() function. Like this:
as.Date("30-01-2021", "%d-%m-%Y")
# [1] "2021-01-30"
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I'm working with a dataframe that has a column of dates, all of which are integers in the form 20210117 for January 17, 2021.
I tried to run
data$DATE <- as.Date(as.character(data$DATE), "%Y%m%d")
but this turns all my dates into NAs. What am I doing wrong and is there a way to fix this in base R without importing libraries?
You can use the format option when calling as.Date:
dates <- as.character(data$YearMonthDay)
data$newVar = as.Date(dates, format="%Y%m%d")
Note that you don't need to use the origin parameter here, because even though you are passing in numerical data, it is in the form of an actual text date. origin is used when passing in number of days since an epoch.
It is generally not advisable to go in this direction, and in any case, base R date's have to have a year component. So, include the year component, and if you don't want to use it, then don't use it.
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I'm just starting out in R and I'm trying to round all the numbers with no decimals in my data frame, preferably when I'm reading in a file.
I've looked up several ways to round decimals, but it is not clear to me where to place the code and what exactly to put in.
Could someone explain to me how to do this in the simplest way possible?
I'm working through an R script.
Where df is the name of the data.frame, and the 0 in the round function is number of decimals:
df <- data.frame(lapply(df, function(x){ if(is.numeric(x)){round(x, 0)}else{x}}))
Data used:
df <- data.frame(x1 = c(84.2,105.2,79.2,140.2,108.2,79.2,112.2,118.2,114.2,92.2),
x2 = c(138.3,110.3,84.3,45.3,128.3,99.3,100.3,124.3,121.3,115.3),
x3 = as.character(c(138.3,110.3,84.3,45.3,128.3,99.3,100.3,124.3,121.3,115.3)),
stringsAsFactors = FALSE)
Nevermind, found a simple function round_half_up() which solved the problem!
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Currently I have a column with time in the format yyyy-mm-dd hh:mm:ss, (eg. 2015-10-10 04:10:45) and I wish to extract the hour possibly using as.POSIXlt(x)$hour where x is my column.
Unfortunately, this function is returning a vector full of 0's, but if I do something like as.POSIXlt("2015-10-10 04:10:45")$hour I receive 4 which is what I want.
How can I do this with the whole column?
I was just doing the exact same thing on my dataset...
format(as.POSIXct(df$datetime, format="%Y-%m-%d %H:%M:%S"), format="%H:%M:%S")
#[1] "04:10:45"
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How do I format dates in R? I had to change something in my data set to account for blanks, and now my dates are very large negative numbers. I need to change them back into dates.
Assuming you have \t delimited input file.
Use the as.is argument to stop the read.table() function from converting the input variables. Then perhaps convert the date into something usable using strptime()
data <- read.table(file="...", sep="\t", as.is = TRUE)
data[,1] <- strptime(data[,1], "%Y-%m-%d")