Hi,
please also have a look at the 'cut' function.Very handa function for these
types of situations.
Best,
Fredrik
On Sun, Aug 7, 2016 at 8:10 PM, Shivi Bhatia wrote:
> Thank you Jeremiah and all others for the assistance. This really helped.
>
> On Sat, Aug 6, 2016 at 5:01 AM, jeremiah round
Thank you Jeremiah and all others for the assistance. This really helped.
On Sat, Aug 6, 2016 at 5:01 AM, jeremiah rounds
wrote:
> Something like:
>
> d = data.frame(score = sample(1:10, 100, replace=TRUE))
> d$score_t = "low"
> d$score_t[d$score > 3] = "medium"
> d$score_t[d$score >7 ] = "hig
Something like:
d = data.frame(score = sample(1:10, 100, replace=TRUE))
d$score_t = "low"
d$score_t[d$score > 3] = "medium"
d$score_t[d$score >7 ] = "high"
d$score_t = factor(d$score_t, levels = c("low", "medium", "high"),
ordered=TRUE) #set ordered = FALSE for dummy variables
X = model.matrix(
Thanks you all for the assistance. This really helps.
Hi Bert: While searching nabble i got to know R with factors variables
there is no need to create dummy variable. However please consider this
situation:
I am in the process of building a logistic regression model on NPS data.
The outcome varia
Just commenting on the email subject, not the content (which you have
already been helped with): there is no need to *ever* create a dummy
variable for regression in R if what you mean by this is what is
conventionally meant. R will create the model matrix with appropriate
"dummy variables" for fac
Hello,
Your ifelse will never work because
reasons$salutation== "Mr" & reasons$salutation=="Father" is always FALSE
and so is reasons$salutation=="Mrs" & reasons$salutation=="Miss".
Try instead | (or), not & (and).
Hope this helps,
Rui Barradas
Citando Shivi Bhatia :
> Dear Team,
>
> I need
Dear Team,
I need help with the below code in R:
gender_rec<- c('Dr','Father','Mr'=1, 'Miss','MS','Mrs'=2, 3)
reasons$salutation<- gender_rec[reasons$salutation].
This code gives me the correct output but it overwrites the
reason$salutation variable. I need to create a new variable gender to
ca
7 matches
Mail list logo