Displaying 6 results from an estimated 6 matches for "y_var".
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_var
2023 Aug 12
2
geom_smooth
Colleagues,
Here is my reproducible code for a graph using geom_smooth
set.seed(55)
scatter_data <- tibble(x_var = runif(100, min = 0, max = 25)
?????????????????????? ,y_var = log2(x_var) + rnorm(100))
library(ggplot2)
library(cowplot)
ggplot(scatter_data,aes(x=x_var,y=y_var))+
? geom_point()+
? geom_smooth(se=TRUE,fill="blue",color="black",linetype="dashed")+
? theme_cowplot()
I'd like to add a black boundary around the shaded area...
2023 Aug 12
1
geom_smooth
?s 05:17 de 12/08/2023, Thomas Subia via R-help escreveu:
> Colleagues,
>
> Here is my reproducible code for a graph using geom_smooth
> set.seed(55)
> scatter_data <- tibble(x_var = runif(100, min = 0, max = 25)
> ?????????????????????? ,y_var = log2(x_var) + rnorm(100))
>
> library(ggplot2)
> library(cowplot)
>
> ggplot(scatter_data,aes(x=x_var,y=y_var))+
> ? geom_point()+
> ? geom_smooth(se=TRUE,fill="blue",color="black",linetype="dashed")+
> ? theme_cowplot()
>
> I'...
2012 Dec 03
1
Calculation of extremely low p-values (in lm)
...his unusally low p-value to the
reviewers.
This "problem" can be illustrated with the following made-up data:
x_var<-c(0.149,0.178,0.3474,0.167,0.121,0.182,0.176,0.448,0.091,0.083,0.090,0.407,0.378,0.132,0.227,0.172,0.088,0.392,0.425,0.150,0.319,0.190,0.171,0.290,0.214,0.431,0.193)
y_var<-c(0.918,0.394,0.131,0.9084,0.916,0.934,0.928,0.279,0.830,0.927,0.964,0.323,0.097,0.914,0.614,0.790,0.984,0.530,0.207,0.858,0.408,0.919,0.869,0.347,0.834,0.276,0.940)
fit<-lm(y_var~x_var)
> summary(fit)
Call:
lm(formula = y_var ~ x_var)
Residuals:
Min 1Q Median 3Q...
2006 Jun 21
1
Extract information from the summary of 'lm'
Hi Everyone,
I just don't know how to extract the information I
want from the summary of a linear regression model
fitting.
For example, I fit the following simple linear
regression model:
results = lm(y_var ~ x_var)
summary(results) gives me:
Call:
lm(formula = y_var ~ x_var)
Residuals:
Min 1Q Median 3Q Max
-5.9859 -1.5849 0.4574 2.0163 4.6015
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.7782 0.5948 -2.990 0.004879 **
x_var...
2023 Aug 12
1
geom_smooth
...smooth
The call "library(tidyverse)" was missing. :)
> I'd like to add a black boundary around the shaded area. I suspect
> this can be done with geom_ribbon but I cannot figure this out. Some
> advice would be welcome.
This works for me:
ggplot(scatter_data,aes(x=x_var,y=y_var,))+
geom_point()+
geom_smooth(se=TRUE,fill="blue",color="black",linetype="dashed") +
geom_ribbon(stat="smooth", aes(ymin=after_stat(ymin), ymax=after_stat(ymax)), fill=NA, color="black")+
theme_cowplot()
Cheers,
Berwin
2010 Jan 30
2
Using auto.key with two variable plots
Rhelpers:
Having a problem solving this. I have an xyplot call that looks
like this:
print(xyplot(temp_species_EAM_Pred_Pop$x+temp_species_NULL_Pred_Pop$x~temp_species_EAM_Pred_Pop$Action,main=current_species,
xlab="Action",ylab="Predicted Pop",
xlim=c(xmin,xmax),ylim=c(ymin,ymax),