Displaying 6 results from an estimated 6 matches for "element_line".
2016 Apr 09
1
Run script R
...------------------------------------------------------------------------script( graph-style.R) :
library(grid)
theme_custom <- function (base_size = 10, base_family = "serif") {? theme_grey(base_size = base_size, base_family = base_family) %+replace%? ? theme(? ? ? line = ? ? ? ? ? ? ? element_line(colour = "black", size = 0.5, linetype = 1, lineend = "butt"),? ? ? rect = ? ? ? ? ? ? ? element_rect(fill = "white", colour = "black", size = 0.5, linetype = 1),? ? ? text = ? ? ? ? ? ? ? element_text(family = base_family, face = "plain", colour =...
2023 Jun 16
1
Issue with crammed Y axis
...%)") +
facet_wrap(~Type,nrow=3)
myplot + theme(panel.grid.major = element_blank(),
legend.title=element_blank(), panel.grid.minor = element_blank(),
panel.background = element_blank(), axis.title.x = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1),
axis.line = element_line(colour = "black"))
My issue is that Y axis is crammed. How it can be cleaned up and say
feature only say these values: 0, 10, 20,30, ...80.
I tried using: scale_y_continuous(breaks = breaks_width(10))+
But I got this error:
Error in breaks_width(10) : could not find function "break...
2018 Feb 12
2
plotting the regression coefficients
...anel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank(),
axis.ticks = element_blank())
p3<-p2+theme(panel.grid.major = element_blank(), panel.grid.minor =
element_blank(),
panel.background = element_blank(), axis.line = element_line(colour =
"black"))
p4<-p3+scale_color_manual(breaks = c("-1", "0", "1"),
values=c("darkblue", "green", "red"))
*My question is:*
What if I was to repeat the analysis and standardize the beta (z-score...
2018 Feb 13
0
plotting the regression coefficients
...anel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank(),
axis.ticks = element_blank())
p3<-p2+theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.background = element_blank(), axis.line = element_line(colour = "black"))
p4<-p3+scale_color_manual(breaks = c("-1", "0", "1"),
values=c("darkblue", "green", "red"))
My question is:
What if I was to repeat the analysis and standardize the beta (z-score)...
2018 Feb 12
0
plotting the regression coefficients
Petr, there was a thinko in your response.
tmp <- data.frame(m=factor(letters[1:4]), n=1:4)
tmp
tmp$m <- factor(tmp$m, levels=c("c","b","a","d")) ## right
tmp[order(tmp$m),]
tmp <- data.frame(m=factor(letters[1:4]), n=1:4)
levels(tmp$m) <- c("c","b","a","d") ## wrong
tmp[order(tmp$m),]
changing levels
2018 Feb 12
3
plotting the regression coefficients
Hi
After melt you can change levels of your factor variable. Again with the toy example.
> levels(temp$variable)
[1] "y1" "y2" "y3" "y4"
> levels(temp$variable) <- levels(temp$variable)[c(2,4,1,3)]
> levels(temp$variable)
[1] "y2" "y4" "y1" "y3"
>
And you will get graphs with this new levels ordering.