Combine multi_compare_objects
multi_compare_merge.Rd
multi_compare_merge
combines two multi_compare_objects
to plot them together.
Arguments
- multi_reg_object1, multi_reg_object2
Multireg objects that should be combined.
- p_adjust
A logical input or character string indicating an adjustment method that isusable in the
method
parameter ofp.adjust
. If set to TRUE the Bonferroni adjusted p-values are used in inference.
Examples
## Get Data for comparison
card<-wooldridge::card
south <- card[card$south==1,]
north <- card[card$south==0,]
black <- card[card$black==1,]
white <- card[card$black==0,]
## use the function to plot the data
multi_data1 <- sampcompR::multi_compare(df = north,
bench = south,
independent = c("age","fatheduc","motheduc","IQ"),
dependent = c("educ"),
family = "ols")
#>
#> Difference in coeficients between sets of respondents
#>
#> educ
#> age -7.91e-02*
#> fatheduc -4.41e-02
#> motheduc 4.34e-02
#> IQ -1.85e-02**
#>
#> Overall difference between north & south: 50% of coeficients are significant different
#> (*p<0.05 ; **p<0.005 ; ***p<0.001; for t-test robust standard errors are used)
#>
multi_data2 <- sampcompR::multi_compare(df = black,
bench = white,
independent = c("age","fatheduc","motheduc","IQ"),
dependent = c("wage"),
family = "ols")
#>
#> Difference in coeficients between sets of respondents
#>
#> wage
#> age 1.27e+01
#> fatheduc 4.91e-01
#> motheduc 6.94e-01
#> IQ -5.40e-01
#>
#> Overall difference between black & white: 0% of coeficients are significant different
#> (*p<0.05 ; **p<0.005 ; ***p<0.001; for t-test robust standard errors are used)
#>
### merge two objects ###
merged_object<-multi_compare_merge(multi_data1,multi_data2)
### Plot the merged object ###
plot_multi_compare("merged_object")
#> Error in get(multi_compare_objects[i]): object 'merged_object' not found