Comments (5)
ewenharrison
commented on July 29, 2024
Thank you!
This is intended behaviour rather than a bug. 5 or fewer values in a
variable is automatically converted to a factor. If you think it would be
useful to alter this, let me know and I’ll make it optional.
Thank again.
Ewen
…On Tue, 30 Oct 2018 at 17:51, aquintela ***@***.***> wrote:
Hi,
I am using your package
I have a problema running
explanatory = c("x")
dependent = 'mort_5yr'
colon_s %>%
summary_factorlist(dependent, explanatory,
p=TRUE, add_dependent_label=TRUE)
if I use a numeric variable "x" with less than 6 values, the variable is
considered as factor, and the test is a Chi-square, not a t-test
can you help me, please?
thank you very much in advance for your attention, and for your great
package!
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aquintela
commented on July 29, 2024
Actually, we have some variables that can take ten values, but, finally, we only have 4 values. Anyway, we need to check if there exist mean differences using a t-test. I think that it would be interesting that the user could be select the minimal values for a factor.
Thank you very much for your help!
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ewenharrison
commented on July 29, 2024
This is now available in 0.8.8 Github version. Will go to CRAN soon.
devtools::install_github("ewenharrison/finalfit")
dependent = "mort_5yr"
explanatory = "sex"
colon_s %>%
summary_factorlist(dependent, explanatory)
colon_s %>%
summary_factorlist(dependent, explanatory, cont_cut = 0)
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aquintela
commented on July 29, 2024
I have just installed the last versión. It Works fine!
Thank you very much. Great Job!
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alansz
commented on July 29, 2024
Reopening this. cont_cut works great with summary_factorlist, but doesn't appear to work with finalfit. Can it?
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