thr3ads.net - R help - [R] How to differ stats_cor labels by group on a ggplot [Jul 2020]

If this information is useful, please help other people find it:
Share via:

Paulina Skolasinska

2020-Jul-11 14:09 UTC

[R] ODP: How to differ stats_cor labels by group on a ggplot

Thanks Tim, here is the link to the data: https://we.tl/t-c4x9Lw7LeR
I'm posting my code again so it better matches the modified data, and
because I've added several improvements in the meantime.

for (i in 3:6) {
    p1 <- ggplot(df, mapping=aes(x = Age, y = unlist(df[i]),
color=factor(AgeGroup))) +
        geom_smooth(method="lm") +
        geom_point(size = 4) +
        scale_x_continuous(breaks = seq(20,90, by=10)) +
        scale_y_continuous(breaks = seq(0.1,0.5, by=0.1)) +
        theme_classic() +
        expand_limits(y = 0.5) +
        ylab(names(df)[i]) +
        theme(axis.text.x = element_text(face="bold", size=14),
              axis.text.y = element_text(face="bold", size=14),
              axis.title.x = element_text(size=14, face="bold"),
              axis.title.y = element_text(size=14, face="bold"),
              legend.title = element_text(color="black", size=12),
              legend.text = element_text(colour="black", size = 14,
face = "bold")) +
        geom_smooth(data=df, mapping = aes(x = Age, y = unlist(df[i]), group=1,
color="black"), method = "lm") +
        scale_colour_discrete(name="Group",
labels=c("Young", "Old", "Overall")) +
        stat_cor(aes(color = factor(AgeGroup), y = unlist(df[i])),
                 method = "pearson", label.x.npc =
c("center"), label.y.npc="top") +
        stat_cor(aes(x = Age, y = unlist(df[i]),
                 label =
paste(sub("R",expression("R"[overall]),..r.label..),
..p.label.., sep = "~`,`~"),
                 group=1, color="black"), method =
"pearson",label.y=0.5, label.x.npc = c("center"),
                 position = position_nudge(y = 0.015 * 0.5))

    ggsave(p1, file=paste0("TestAge_", names(df)[i],
".png"), scale=1, width=16, height=10, units="cm")
}


________________________________
Od: Jim Lemon <drjimlemon at gmail.com>
Wys?ane: sobota, 11 lipca 2020 04:09
Do: Paulina Skolasinska <paulina.skol at hotmail.com>
DW: r-help at r-project.org <r-help at r-project.org>
Temat: Re: [R] How to differ stats_cor labels by group on a ggplot

Hi Paulina,
Without data it's hard to work out what you are doing. Even a small
simulated data set would help to get answers.

Jim

On Fri, Jul 10, 2020 at 11:49 PM Paulina Skolasinska
<paulina.skol at hotmail.com> wrote:>
> 'm using ggplot2 to plot two variables at a time. I'm plotting two
age groups and overall data on the same graph. I'm also using stat_cor form
the ggpubr package to report correlations for the two groups and overall data.
>
> I want each stat_cor label to have a custom subscript - the group name
("old", "young"). I have managed to do this for the overall
data, but I don't know how to add custom labels for each group separately.
I'd like the labels to look like this: https://imgur.com/a/naF7uNW
>
> > for (i in 18:21) {
>   p1 <- ggplot(df, mapping=aes(x = Age, y = unlist(df[i]),
color=factor(AgeGroup))) +
>     geom_smooth(method="lm") +
>     geom_point(size = 4) +
>     geom_smooth(data=df, mapping = aes(x = Age, y = unlist(df[i]), group=1,
color="black"), method = "lm") +
>     scale_colour_discrete(name="Group",
labels=c("young", "old", "overall")) +
>     stat_cor(aes(color = factor(AgeGroup), y = unlist(df[i]))) +
>     stat_cor(aes(x = Age, y = unlist(df[i]), group=1,
color="black",
>                  label =
paste(sub("R",expression("R"[overall]),..r.label..),
..p.label.., sep = "~`,`~")))
>
>   ggsave(p1, file=paste0("Age_", names(df)[i], ".png"),
scale=1)
> }
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
	[[alternative HTML version deleted]]

Jim Lemon

2020-Jul-11 23:32 UTC

head link

[R] How to differ stats_cor labels by group on a ggplot

Hi Paulina,
Thanks for the data. Even after downloading a ton of packages along
with the "ggpubr" package, I get a namespace error when I try to load
it. After a bit of wrangling, I did get the code to run without the
"stat_cor" function, producing the four PNG images. My best guess is
to try the geom_label function with stat="cor", but I can't see
any
argument to format the actual label. I think this is about as far as
I'm going to get.

Jim

On Sun, Jul 12, 2020 at 12:09 AM Paulina Skolasinska
<paulina.skol at hotmail.com> wrote:>
> Thanks Tim, here is the link to the data: https://we.tl/t-c4x9Lw7LeR
> I'm posting my code again so it better matches the modified data, and
because I've added several improvements in the meantime.
>
> for (i in 3:6) {
>     p1 <- ggplot(df, mapping=aes(x = Age, y = unlist(df[i]),
color=factor(AgeGroup))) +
>         geom_smooth(method="lm") +
>         geom_point(size = 4) +
>         scale_x_continuous(breaks = seq(20,90, by=10)) +
>         scale_y_continuous(breaks = seq(0.1,0.5, by=0.1)) +
>         theme_classic() +
>         expand_limits(y = 0.5) +
>         ylab(names(df)[i]) +
>         theme(axis.text.x = element_text(face="bold", size=14),
>               axis.text.y = element_text(face="bold", size=14),
>               axis.title.x = element_text(size=14, face="bold"),
>               axis.title.y = element_text(size=14, face="bold"),
>               legend.title = element_text(color="black",
size=12),
>               legend.text = element_text(colour="black", size =
14, face = "bold")) +
>         geom_smooth(data=df, mapping = aes(x = Age, y = unlist(df[i]),
group=1, color="black"), method = "lm") +
>         scale_colour_discrete(name="Group",
labels=c("Young", "Old", "Overall")) +
>         stat_cor(aes(color = factor(AgeGroup), y = unlist(df[i])),
>                  method = "pearson", label.x.npc =
c("center"), label.y.npc="top") +
>         stat_cor(aes(x = Age, y = unlist(df[i]),
>                  label =
paste(sub("R",expression("R"[overall]),..r.label..),
..p.label.., sep = "~`,`~"),
>                  group=1, color="black"), method =
"pearson",label.y=0.5, label.x.npc = c("center"),
>                  position = position_nudge(y = 0.015 * 0.5))
>
>     ggsave(p1, file=paste0("TestAge_", names(df)[i],
".png"), scale=1, width=16, height=10, units="cm")
> }
>
>
> ________________________________
> Od: Jim Lemon <drjimlemon at gmail.com>
> Wys?ane: sobota, 11 lipca 2020 04:09
> Do: Paulina Skolasinska <paulina.skol at hotmail.com>
> DW: r-help at r-project.org <r-help at r-project.org>
> Temat: Re: [R] How to differ stats_cor labels by group on a ggplot
>
> Hi Paulina,
> Without data it's hard to work out what you are doing. Even a small
> simulated data set would help to get answers.
>
> Jim
>
> On Fri, Jul 10, 2020 at 11:49 PM Paulina Skolasinska
> <paulina.skol at hotmail.com> wrote:
> >
> > 'm using ggplot2 to plot two variables at a time. I'm plotting
two age groups and overall data on the same graph. I'm also using stat_cor
form the ggpubr package to report correlations for the two groups and overall
data.
> >
> > I want each stat_cor label to have a custom subscript - the group name
("old", "young"). I have managed to do this for the overall
data, but I don't know how to add custom labels for each group separately.
I'd like the labels to look like this: https://imgur.com/a/naF7uNW
> >
> > > for (i in 18:21) {
> >   p1 <- ggplot(df, mapping=aes(x = Age, y = unlist(df[i]),
color=factor(AgeGroup))) +
> >     geom_smooth(method="lm") +
> >     geom_point(size = 4) +
> >     geom_smooth(data=df, mapping = aes(x = Age, y = unlist(df[i]),
group=1, color="black"), method = "lm") +
> >     scale_colour_discrete(name="Group",
labels=c("young", "old", "overall")) +
> >     stat_cor(aes(color = factor(AgeGroup), y = unlist(df[i]))) +
> >     stat_cor(aes(x = Age, y = unlist(df[i]), group=1,
color="black",
> >                  label =
paste(sub("R",expression("R"[overall]),..r.label..),
..p.label.., sep = "~`,`~")))
> >
> >   ggsave(p1, file=paste0("Age_", names(df)[i],
".png"), scale=1)
> > }
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.

Paulina Skolasinska

2020-Jul-12 01:20 UTC

head link

[R] How to differ stats_cor labels by group on a ggplot

Sorry for misspelling your name, Jim. Well, it seems this is not worth the
effort then. If my advisor decides this is absolutely essential, I?ll add it in
gimp or something. Thanks for giving it a go, Jim.

Get Outlook for iOS<https://aka.ms/o0ukef>
________________________________
From: Jim Lemon <drjimlemon at gmail.com>
Sent: Saturday, July 11, 2020 6:32:13 PM
To: Paulina Skolasinska <paulina.skol at hotmail.com>
Cc: r-help at r-project.org <r-help at r-project.org>
Subject: Re: [R] How to differ stats_cor labels by group on a ggplot

Hi Paulina,
Thanks for the data. Even after downloading a ton of packages along
with the "ggpubr" package, I get a namespace error when I try to load
it. After a bit of wrangling, I did get the code to run without the
"stat_cor" function, producing the four PNG images. My best guess is
to try the geom_label function with stat="cor", but I can't see
any
argument to format the actual label. I think this is about as far as
I'm going to get.

Jim

On Sun, Jul 12, 2020 at 12:09 AM Paulina Skolasinska
<paulina.skol at hotmail.com> wrote:>
> Thanks Tim, here is the link to the data: https://we.tl/t-c4x9Lw7LeR
> I'm posting my code again so it better matches the modified data, and
because I've added several improvements in the meantime.
>
> for (i in 3:6) {
>     p1 <- ggplot(df, mapping=aes(x = Age, y = unlist(df[i]),
color=factor(AgeGroup))) +
>         geom_smooth(method="lm") +
>         geom_point(size = 4) +
>         scale_x_continuous(breaks = seq(20,90, by=10)) +
>         scale_y_continuous(breaks = seq(0.1,0.5, by=0.1)) +
>         theme_classic() +
>         expand_limits(y = 0.5) +
>         ylab(names(df)[i]) +
>         theme(axis.text.x = element_text(face="bold", size=14),
>               axis.text.y = element_text(face="bold", size=14),
>               axis.title.x = element_text(size=14, face="bold"),
>               axis.title.y = element_text(size=14, face="bold"),
>               legend.title = element_text(color="black",
size=12),
>               legend.text = element_text(colour="black", size =
14, face = "bold")) +
>         geom_smooth(data=df, mapping = aes(x = Age, y = unlist(df[i]),
group=1, color="black"), method = "lm") +
>         scale_colour_discrete(name="Group",
labels=c("Young", "Old", "Overall")) +
>         stat_cor(aes(color = factor(AgeGroup), y = unlist(df[i])),
>                  method = "pearson", label.x.npc =
c("center"), label.y.npc="top") +
>         stat_cor(aes(x = Age, y = unlist(df[i]),
>                  label =
paste(sub("R",expression("R"[overall]),..r.label..),
..p.label.., sep = "~`,`~"),
>                  group=1, color="black"), method =
"pearson",label.y=0.5, label.x.npc = c("center"),
>                  position = position_nudge(y = 0.015 * 0.5))
>
>     ggsave(p1, file=paste0("TestAge_", names(df)[i],
".png"), scale=1, width=16, height=10, units="cm")
> }
>
>
> ________________________________
> Od: Jim Lemon <drjimlemon at gmail.com>
> Wys?ane: sobota, 11 lipca 2020 04:09
> Do: Paulina Skolasinska <paulina.skol at hotmail.com>
> DW: r-help at r-project.org <r-help at r-project.org>
> Temat: Re: [R] How to differ stats_cor labels by group on a ggplot
>
> Hi Paulina,
> Without data it's hard to work out what you are doing. Even a small
> simulated data set would help to get answers.
>
> Jim
>
> On Fri, Jul 10, 2020 at 11:49 PM Paulina Skolasinska
> <paulina.skol at hotmail.com> wrote:
> >
> > 'm using ggplot2 to plot two variables at a time. I'm plotting
two age groups and overall data on the same graph. I'm also using stat_cor
form the ggpubr package to report correlations for the two groups and overall
data.
> >
> > I want each stat_cor label to have a custom subscript - the group name
("old", "young"). I have managed to do this for the overall
data, but I don't know how to add custom labels for each group separately.
I'd like the labels to look like this: https://imgur.com/a/naF7uNW
> >
> > > for (i in 18:21) {
> >   p1 <- ggplot(df, mapping=aes(x = Age, y = unlist(df[i]),
color=factor(AgeGroup))) +
> >     geom_smooth(method="lm") +
> >     geom_point(size = 4) +
> >     geom_smooth(data=df, mapping = aes(x = Age, y = unlist(df[i]),
group=1, color="black"), method = "lm") +
> >     scale_colour_discrete(name="Group",
labels=c("young", "old", "overall")) +
> >     stat_cor(aes(color = factor(AgeGroup), y = unlist(df[i]))) +
> >     stat_cor(aes(x = Age, y = unlist(df[i]), group=1,
color="black",
> >                  label =
paste(sub("R",expression("R"[overall]),..r.label..),
..p.label.., sep = "~`,`~")))
> >
> >   ggsave(p1, file=paste0("Age_", names(df)[i],
".png"), scale=1)
> > }
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
	[[alternative HTML version deleted]]

R help - Jul 2020 - How to differ stats_cor labels by group on a ggplot

[R] ODP: How to differ stats_cor labels by group on a ggplot

[R] How to differ stats_cor labels by group on a ggplot

[R] How to differ stats_cor labels by group on a ggplot