Displaying 20 results from an estimated 20 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 =...
2024 Jun 26
2
Ayuda para hacer una lista
...c(1,1,1))
cvdf_melt<-reshape2::melt(cvdf)
g5 <-ggplot( cvdf_melt, aes(x=variable,
y=value))+geom_boxplot(color="black",fill=palette, alpha=0.8)+##,
fill="Experiment"
scale_y_continuous(limits=c(0,100), breaks=seq(0,100, by=10))+
theme_bw()+
theme(panel.grid.major = element_line(colour = "gray85"),
panel.grid.minor = element_line(colour = "gray85"),
axis.text.x = element_text(color = "black", size = 12,angle=45,
hjust=1,vjust=1),
axis.text.y= element_text(color = "black", size = 12,angle=0,
hjust=0.5,vjust=0.5...
2024 Jun 26
1
Ayuda para hacer una lista
...2::melt(cvdf)
>
> g5 <-ggplot( cvdf_melt, aes(x=variable,
> y=value))+geom_boxplot(color="black",fill=palette, alpha=0.8)+##,
> fill="Experiment"
> scale_y_continuous(limits=c(0,100), breaks=seq(0,100, by=10))+
> theme_bw()+
> theme(panel.grid.major = element_line(colour = "gray85"),
> panel.grid.minor = element_line(colour = "gray85"),
> axis.text.x = element_text(color = "black", size = 12,angle=45,
> hjust=1,vjust=1),
> axis.text.y= element_text(color = "black", size = 12,angle=0,
&g...
2024 Jun 27
2
Ayuda para hacer una lista
...g5 <-ggplot( cvdf_melt, aes(x=variable,
> > y=value))+geom_boxplot(color="black",fill=palette, alpha=0.8)+##,
> > fill="Experiment"
> > scale_y_continuous(limits=c(0,100), breaks=seq(0,100, by=10))+
> > theme_bw()+
> > theme(panel.grid.major = element_line(colour = "gray85"),
> > panel.grid.minor = element_line(colour = "gray85"),
> > axis.text.x = element_text(color = "black", size = 12,angle=45,
> > hjust=1,vjust=1),
> > axis.text.y= element_text(color = "black", s...
2024 Jun 28
1
Ayuda para hacer una lista
...df_melt, aes(x=variable,
>>> y=value))+geom_boxplot(color="black",fill=palette, alpha=0.8)+##,
>>> fill="Experiment"
>>> scale_y_continuous(limits=c(0,100), breaks=seq(0,100, by=10))+
>>> theme_bw()+
>>> theme(panel.grid.major = element_line(colour = "gray85"),
>>> panel.grid.minor = element_line(colour = "gray85"),
>>> axis.text.x = element_text(color = "black", size = 12,angle=45,
>>> hjust=1,vjust=1),
>>> axis.text.y= element_text(color = "...
2024 Jul 18
2
ggplot two-factor legend
...dev.new(width=4, height=2.75)
par(mar = c(0,6,0,0))
p1<-ggplot(data = MS1, aes(x= Jahr, y= QI_A,group=Bio,color=Bio,
linetype=Bio)) +
geom_smooth(aes(fill=Bio) , method = "lm" , formula = y ~ x +
I(x^2),linewidth=1) +
theme(panel.background = element_blank())+
theme(axis.line = element_line(colour = "black"))+
theme(axis.text=element_text(size=18))+
theme(axis.title=element_text(size=20))+
ylab("Anteil BFF an LN [%]") +xlab("Jahr")+
scale_color_manual(values=c("red","dark green"), labels=c("?LN",
"BIO"))+
sca...
2024 Aug 16
2
boxplot notch
...mes(MS1s)[2]<-"Bio"
MS1s
p1<-ggplot(MS1s, aes(Jahr, fill = as.factor(Bio))) +
geom_boxplot(
aes(ymin = y0, lower = y25, middle = y50, upper = y75, ymax = y100),
stat = "identity", notch=TRUE
) +
theme(panel.background = element_blank())+
theme(axis.line = element_line(colour = "black"))+
theme(axis.text=element_text(size=18))+
theme(axis.title=element_text(size=20))+
ylab("Anteil BFF an LN [%]") +xlab("Jahr")+
scale_color_manual(values=c("red","darkgreen"), labels=c("?LN", "BIO"))+
s...
2024 Aug 16
1
boxplot notch
...ll = as.factor(Bio))) +
>
> geom_boxplot(
>
> aes(ymin = y0, lower = y25, middle = y50, upper = y75, ymax = y100),
>
> stat = "identity", notch=TRUE
>
> ) +
>
> theme(panel.background = element_blank())+
>
> theme(axis.line = element_line(colour = "black"))+
>
> theme(axis.text=element_text(size=18))+
>
> theme(axis.title=element_text(size=20))+
>
> ylab("Anteil BFF an LN [%]") +xlab("Jahr")+
>
> scale_color_manual(values=c("red","darkgreen"),...
2024 Aug 16
1
boxplot notch
...2]<-"Bio"
MS1s
p1<-ggplot(MS1s, aes(Jahr, fill = as.factor(Bio))) +
geom_boxplot(
aes(ymin = y0, lower = y25, middle = y50, upper = y75, ymax = y100),
stat = "identity", notch=TRUE
) +
theme(panel.background = element_blank())+
theme(axis.line = element_line(colour = "black"))+
theme(axis.text=element_text(size=18))+
theme(axis.title=element_text(size=20))+
ylab("Anteil BFF an LN [%]") +xlab("Jahr")+
scale_color_manual(values=c("red","darkgreen"), labels=c("?LN", "BIO"))+...
2024 Aug 11
1
geom_smooth with sd
...=Bio, linetype=Bio)) +
geom_smooth(aes(fill=Bio,
ymax=after_stat(y+se*sqrt(length(y))), ymin=after_stat(y-se*sqrt(y))) ,
method = "lm" , formula = y ~ x + I(x^2),linewidth=1) +
theme(panel.background = element_blank())+
theme(axis.line = element_line(colour = "black"))+
theme(axis.text=element_text(size=18))+
theme(axis.title=element_text(size=20))+
ylab("Anteil BFF an LN [%]") +xlab("Jahr")+
scale_color_manual(values=c("red","darkgreen"), labels=c("?LN", &quo...
2024 Jul 18
1
ggplot two-factor legend
...par(mar = c(0,6,0,0))
> p1<-ggplot(data = MS1, aes(x= Jahr, y= QI_A,group=Bio,color=Bio,
> linetype=Bio)) +
> geom_smooth(aes(fill=Bio) , method = "lm" , formula = y ~ x +
> I(x^2),linewidth=1) +
> theme(panel.background = element_blank())+
> theme(axis.line = element_line(colour = "black"))+
> theme(axis.text=element_text(size=18))+
> theme(axis.title=element_text(size=20))+
> ylab("Anteil BFF an LN [%]") +xlab("Jahr")+
> scale_color_manual(values=c("red","dark green"), labels=c("?LN",
&...
2024 Aug 11
1
geom_smooth with sd
...geom_smooth(aes(fill=Bio,
> ymax=after_stat(y+se*sqrt(length(y))), ymin=after_stat(y-se*sqrt(y))) ,
> method = "lm" , formula = y ~ x + I(x^2),linewidth=1) +
>
> theme(panel.background = element_blank())+
>
> theme(axis.line = element_line(colour = "black"))+
>
> theme(axis.text=element_text(size=18))+
>
> theme(axis.title=element_text(size=20))+
>
> ylab("Anteil BFF an LN [%]") +xlab("Jahr")+
>
> scale_color_manual(values=c("red","darkgreen&qu...
2024 Jul 18
1
ggplot two-factor legend
...)
>par(mar = c(0,6,0,0))
>p1<-ggplot(data = MS1, aes(x= Jahr, y= QI_A,group=Bio,color=Bio,
>linetype=Bio)) +
> geom_smooth(aes(fill=Bio) , method = "lm" , formula = y ~ x +
>I(x^2),linewidth=1) +
> theme(panel.background = element_blank())+
> theme(axis.line = element_line(colour = "black"))+
> theme(axis.text=element_text(size=18))+
> theme(axis.title=element_text(size=20))+
> ylab("Anteil BFF an LN [%]") +xlab("Jahr")+
> scale_color_manual(values=c("red","dark green"), labels=c("?LN",
>&qu...
2024 Jul 18
1
ggplot two-factor legend
...<-ggplot(data = MS1, aes(x= Jahr, y= QI_A,group=Bio,color=Bio,
>> linetype=Bio)) +
>> ???????? geom_smooth(aes(fill=Bio) , method = "lm" , formula = y ~ x +
>> I(x^2),linewidth=1) +
>> ????theme(panel.background = element_blank())+
>> ????theme(axis.line = element_line(colour = "black"))+
>> ?? theme(axis.text=element_text(size=18))+
>> ?? theme(axis.title=element_text(size=20))+
>> ????ylab("Anteil BFF an LN [%]") +xlab("Jahr")+
>> ????scale_color_manual(values=c("red","dark green"), label...
2024 Aug 16
1
boxplot notch
...t; p1<-ggplot(MS1s, aes(Jahr, fill = as.factor(Bio))) +
> geom_boxplot(
> aes(ymin = y0, lower = y25, middle = y50, upper = y75, ymax = y100),
> stat = "identity", notch=TRUE
> ) +
> theme(panel.background = element_blank())+
> theme(axis.line = element_line(colour = "black"))+
> theme(axis.text=element_text(size=18))+
> theme(axis.title=element_text(size=20))+
> ylab("Anteil BFF an LN [%]") +xlab("Jahr")+
> scale_color_manual(values=c("red","darkgreen"), labels=c("?LN"...
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.