How to rename Conditions

[LCM]

Hello,
I need some help with R studio.
i am trying to rename my conditions, I have so far managed to rename my column of condition to factor, but need to rename the conditions. My code so far is this:
my_longer_data %>%
mutate(Condition = factor(Condition)) %>%
head()

my_longer_data %>%
mutate(Condition = factor(Condition)) %>%
head()

then read my data as tidy data from the csv.

tidy_data %>%
mutate(Condition = recode(Condition,
"Condition1" = "Number_Number",
"Condition2" = "Number_Letter",
"Condition3" = "Letter_Number",
"Condition4" = "Letter_Letter",)) %>%
head()

then the error occurs

Any help would be appreciated

[andresrcs]

Hi, welcome!

We don't really have enough info to help you out. Could you ask this with a minimal REPRoducible EXample (reprex)? A reprex makes it much easier for others to understand your issue and figure out how to help.

If you've never heard of a reprex before, you might want to start by reading this FAQ:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[M_AcostaCH]

If I understand well, you need rename somes columns names?

dat <- iris[1:5,]
#  Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#1          5.1         3.5          1.4         0.2  setosa
#2          4.9         3.0          1.4         0.2  setosa
#3          4.7         3.2          1.3         0.2  setosa
#4          4.6         3.1          1.5         0.2  setosa
#5          5.0         3.6          1.4         0.2  setosa

#For change somes columns  names:

names(dat)[1] <- 'Condition'
names(dat)[2] <- 'Condition2'

#  Condition1 Condition2 Petal.Length Petal.Width Species
#1        5.1        3.5          1.4         0.2  setosa
#2        4.9        3.0          1.4         0.2  setosa
#3        4.7        3.2          1.3         0.2  setosa
#4        4.6        3.1          1.5         0.2  setosa
#5        5.0        3.6          1.4         0.2  setosa

[nirgrahamuk]

@LCM

then the error occurs

what error occurs ? please be specific.

p.s. transforming some data to factor and then writing that out to csv only to read it in again, seems to me a bit pointless as csv's are pure text and wont contain any signifiers of your factor intentions so it seems like wasted effort....

[LCM]

Thank you for all your responses.

I think I have worked it out.

my_longer_data %>%
mutate(Condition = recode(Condition,
"Condition1" = "",
"Condition2" = "",
"Condition3" = "",
"Condition4" = "",)) %>%
separate(col = "Condition", into = c("", ""), sep = "_") %>%
mutate(*** = factor(), *** = factor())

this is the code i used (obviously where the stars are I have named data).

I have another query... Is it possible to find the mean median etc when data is in long format? or would i need to place it in wide format?
I have four conditions (as above) and need to summarise my data

[LCM]

Yeah i got rid of that coding part.

The error stated condition not found but I have figured that out now and managed to rename the conditions.

I now need to summarise data which is confusing me as i need to do this in long format...