Here are some pieces of working code. I assume you want the second one or the
third one that is functionally the same but all in one statement. I do not
understand why it is a factor, but I will assume that there is a current and
future reason for that. This means I cannot alter the string_data variable, or
you can simplify by not making the variable a factor only to turn it back into
character.
mydf <- data.frame(id_station = 1234, string_data = c(2024, 12, 1, 0, 0),
rainfall_value= 55)
mydf$string_data <- as.factor(mydf$string_data)
mydf <- data.frame(id_station = 1234, string_data = "2024, 12, 1, 0, 0",
rainfall_value= 55)
mydf$string_data <- as.factor(mydf$string_data)
mydf <- data.frame(id_station = 1234, string_data = as.factor("2024, 12, 1, 0,
0"), rainfall_value= 55)
mydf <- data.frame(id_station = 1234, string_data = as.factor("2024, 12, 1, 0,
0"), rainfall_value= 55)
mydf$string_data2 <- as.character(mydf$string_data)
#I assume there are many records in the data frame and your example is for
demonstration only.
#I cannot assume that all records are the same, though you may be able to
simplify if that is true.
#Split the string based on commas.
split_values <- strsplit(mydf$string_data2, ",")
# find the maximum string length
max_length <- max(lengths(split_values))
# Add new variables to the data frame
for (i in 1:max_length) {
new_var_name <- paste0("VAR_", i)
mydf[[new_var_name]] <- sapply(split_values, function(x) ifelse(length(x) >=
i, x[i], NA))
}
# Convert to numeric
for (i in 1:max_length) {
new_var_name <- paste0("VAR_", i)
mydf[[new_var_name]] <- as.numeric(mydf[[new_var_name]])
}
# remove trash
mydf <- mydf[,-4]
# Provide more useful names
colnames(mydf) <- c("id_station", "string_data", "rainfall_mm", "Year",
"Month", "Day", "hour", "minute")
Regards,
Tim
-----Original Message-----
From: R-help <[email protected]> On Behalf Of Stefano Sofia
Sent: Thursday, March 28, 2024 7:48 AM
To: Fabio D'Agostino <[email protected]>; [email protected]
Subject: Re: [R] split a factor into single elements
[External Email]
Sorry for my hurry.
The correct reproducible code is different from the initial one. The correct
example is
mydf <- data.frame(id_station = 1234, string_data = as.factor(2024, 12, 1, 0,
0), rainfall_value= 55)
In this case mydf$string_data is a factor, but of length 1 (and not 5 like in
the initial example).
Therefore the suggestion offered by Fabio does not work.
Any suggestion?
Sorry again for my mistake
Stefano
(oo)
--oOO--( )--OOo--------------------------------------
Stefano Sofia PhD
Civil Protection - Marche Region - Italy Meteo Section Snow Section Via del
Colle Ameno 5
60126 Torrette di Ancona, Ancona (AN)
Uff: +39 071 806 7743
E-mail: [email protected]
---Oo---------oO----------------------------------------
________________________________
Da: Fabio D'Agostino <[email protected]>
Inviato: gioved 28 marzo 2024 12:20
A: Stefano Sofia; [email protected]
Oggetto: Re: [R] split a factor into single elements
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Hi Stefano,
maybe something like this can help you?
myfactor <- as.factor(c(2024, 2, 1, 0, 0))
# Convert factor values to integers
first_element <- as.integer(as.character(myfactor)[1])
second_element <- as.integer(as.character(myfactor)[2])
third_element <- as.integer(as.character(myfactor)[3])
# Print the results
first_element
[1] 2024
second_element
[1] 2
third_element
[1] 1
# Check the type of the object
typeof(first_element)
[1] "integer"
Fabio
Il giorno gio 28 mar 2024 alle ore 11:29 Stefano Sofia
<[email protected]<mailto:[email protected]>> ha
scritto:
Dear R-list users,
forgive me for this silly question, I did my best to find a solution with no
success.
Suppose I have a factor type like
myfactor <- as.factor(2024, 2, 1, 0, 0)
There are no characters (and therefore strsplit for eample does not work).
I need to store separately the 1st, 2nd and 3rd elements as integers. How can I
do?
Thank you for your help
Stefano
(oo)
--oOO--( )--OOo--------------------------------------
Stefano Sofia PhD
Civil Protection - Marche Region - Italy Meteo Section Snow Section Via del
Colle Ameno 5
60126 Torrette di Ancona, Ancona (AN)
Uff: +39 071 806 7743
E-mail: [email protected]<mailto:[email protected]>
---Oo---------oO----------------------------------------
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