hi friends,

I need to transform regression output into dataframe in order to use regression coefficient to calculate marjinal effect. In the output of Marginal effects, are below, coefficient of dF/dx is neccesary to calculate marginal effect of every subscribtion. So. How can i transform this result into data frame in order to use these coefficient to multiply "automatically" for each variables of each subscribtion ID

**In code's details:**

```
library(mfx)
pmodel3<-probitmfx(formula=CHURN~ HS+SS+TD+MB+IO
,data = dat,
atmean = TRUE, robust = FALSE, clustervar1 = NULL,
clustervar2 = NULL, start = NULL, control = list())
Result:
Call:
probitmfx(formula = CHURN ~ HS+ SS+ TD+
MD+ IO, data = dat, atmean = TRUE,
robust = FALSE, clustervar1 = NULL, clustervar2 = NULL, start = NULL,
control = list())
Marginal Effects:
dF/dx Std. Err. z P>|z|
HS -0.03978638 0.00038181 -104.204 < 2.2e-16 ***
SS 0.05661538 0.00258346 21.915 < 2.2e-16 ***
TD -0.07554999 0.00240007 -31.478 < 2.2e-16 ***
MD -0.39882822 0.00504727 -79.019 < 2.2e-16 ***
IO -0.45453780 0.00273034 -166.476 < 2.2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
dF/dx is for discrete change for the following variables:
[1] "SS" "TD" "MB" "IO"
```