| plot.BalanceR | R Documentation |
Plot "BalanceR" Object
## S3 method for class 'BalanceR' plot( x, point.size = 2.5, text.size = 12, vline = c(10, 25), color = TRUE, simplify = FALSE, abs = FALSE, compare = NULL, names = NULL, ... )
x |
An object of class "BalanceR" |
point.size |
Size of points in the plot. Default is 2.5. |
text.size |
Size of texts in the plot. Default is 12. |
vline |
Numeric vector denoting x-intercept of vertical lines. Default is |
color |
If |
simplify |
Display maximum standardized biases. When number of pairs is large, I recommend set this argument TRUE. Default is FALSE. If |
abs |
Display absolute values of standardized biases. Default is FALSE. |
compare |
An object of class "BalanceR". Default is NULL. |
names |
Name of objects |
... |
Ignored. |
Jaehyun Song <http://www.jaysong.net>
BalanceR, print.BalanceR
## Not run:
## S3 method for class 'BalanceR'
library(BlcDF)
## Show a plot
BlcChk <- BlcDF %>%
BalanceR(group = Group,
cov = c(Sex, Age, Educ, Marriage))
plot(BlcChk)
## A pipe operator (%>%) is also available.
library(magrittr)
BlcChk %>%
plot()
## Show a plot with vertical lines
BlcChk %>%
plot(vline = c(3, 5, 10))
## Change text and point sizes
BlcChk %>%
plot(point.size = 3, text.size = 12)
## Display only absolute values of maximum standardized biases.
BlcChk %>%
plot(only.SB = TRUE, abs = TRUE, simplify = TRUE)
## Display black-white plot
BlcChk %>%
plot(color = FALSE)
## Compare two BalanceR objects
BlcChk1 <- BlcDF[1:1000, ] %>%
BalanceR(group = Group,
cov = c(Sex, Age, Educ, Marriage))
BlcChk2 <- BlcDF[1001:2000, ] %>%
BalanceR(group = Group,
cov = c(Sex, Age, Educ, Marriage))
plot(BlcChk1, compare = BlcChk2,
names = c("First 1000 Sample", "Second 1000 Sample"),
abs = TRUE, point.size = 3, color = FALSE)
## End(Not run)
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