`cox_model <- coxph(Surv(csd_days, csd_event) ~ Age_10yr + Sex_male +
                     Hypertension +Diabetes + ESRD_or_CKD + Ischemic_stroke_or_TIA + 
                     Previous_MI + Dyslipidemia + Malignancy_history + 
                     Thyroid_disease + Heart_failure + Alcohol
                   + Physical_Activity + Smoking + BMI, data=old_total4)`

This is my initial code.
And this is the result.

enter image description here

I’d like to make 2 changes.

1. I want to change the variables names
   Age_10yr to Age(10yr)
   Sex_male to Sex(male)
   Previous_MI to Previous MI

like, removing the _ from the variable and change it to () or blank.
I’ve tried to do it like this…

`cox_model <- coxph(Surv(csd_days, csd_event) ~ Age(10yr) + Sex(male) +
                     Hypertension +Diabetes + ESRD or CKD + Ischemic stroke or TIA + 
                     Previous MI + Dyslipidemia + Malignancy history + 
                     Thyroid disease + Heart failure + Alcohol
                   + Physical Activity + Smoking + BMI, data=old_total4)`

It didn’t work, so I thought maybe adding ‘ ‘ could work…

for example, Age(10yr) -> ‘Age(10yr)’ in that code
-> but it didn’t work also.

2. In the image I’ve uploaded, the numbers are like 1.2, 1.4, 1.6…
   I’d like to change the range from 0.5 ~ 2
   (I mean, so that the ratio is from half to twice.. like logarithmic??

I’ve also actually done things like this:

`labelled::var_label(old_total4) <- list(
  Age_10yr="Age(10yr)",
  Sex_male="Sex(male)",
  Hypertension="Hypertension",
  Diabetes="Diabetes",
  ESRD_or_CKD="ESRD or CKD",
  Ischemic_stroke_or_TIA="Ischemic stroke or TIA",
  Previous_MI="Previous MI",
  Dyslipidemia="Dyslipidemia",
  Malignancy_history="Malignancy history",
  Thyroid_disease="Thyroid disease",
  Heart_failure="Heart failure",
  Alcohol="Alcohol",
  Physical_Activity="Physical Activity",
  Smoking="Smoking",
  BMI="BMI"
)`

`cox_model$xlevels <- unname(cox_model$xlevels)
print(forest_model(cox_model))`

`ggforest(coxph, data=old_total4, legend.labs=c("Age(10yr)", "Sex(male)", "Hypertension",
                                               "Diabetes", "ESRD or CKD", "Ischemic stroke or TIA",
                                               "Previous MI", "Dyslipidemia", "Malignancy history",
                                               "Thyroid disease", "Heart failure", "Alcohol",
                                               "Physical Activity", "Smoking", "BMI"))`

I’ve searched this from google and it led to me this site, so I applied it to my code…
and it said,unused arguments