Short Description of Survey

library(dplyr)    

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

knitr::opts_chunk$set(echo = TRUE)
library(knitr)  # required for kable
library(kableExtra)  # required for kableExtra
options(knit.r.table.format = "markdown")

myRegion <- c("a", "b", "c")
Current_Perc_1 <- c(85.9, 90.8, 89.7)
Current_Perc_2 <- c(88.0, 91.0, 89.0)
tab_curr_est_2_times <- cbind(myRegion, Current_Perc_1, Current_Perc_2)
tab_curr_est_2_times <- as.data.frame(tab_curr_est_2_times, stringsAsFactors = FALSE)
tab_curr_est_2_times$Current_Perc_1 <- as.double(tab_curr_est_2_times$Current_Perc_1)
tab_curr_est_2_times$Current_Perc_2 <- as.double(tab_curr_est_2_times$Current_Perc_2)
tab_curr_est_2_times$curr_change_1_to_2 <- tab_curr_est_2_times$Current_Perc_2 - tab_curr_est_2_times$Current_Perc_1

tab_1_curr <- tab_curr_est_2_times
tab_1_curr[ nrow(tab_1_curr)+1 , ] <- NA
tab_1_curr$myRegion[ nrow(tab_1_curr) ] <- "BRITISH COLUMBIA"
tab_1_curr$Current_Perc_1[ nrow(tab_1_curr) ] <- 88.4
tab_1_curr$Current_Perc_2[ nrow(tab_1_curr) ] <- 89.3
tab_1_curr$curr_change_1_to_2[ nrow(tab_1_curr) ] <- 0.9

knitr::kable(tab_1_curr, digits = 1, align = "lccc", position = "c", 
         caption = "\\: my table caption here") %>%
  kable_styling("striped") %>%
  row_spec(nrow(tab_1_curr), bold = TRUE)