Struggling to adapt code from stackoverflow to data set - Adding Regression Line Equation and R2 on graph












0















I found a function that adds a regression line equation on graph.
Adding Regression Line Equation and R2 on graph
If I copy the function and data sample, everything works fine. But when I try to adapt the code, I get the message, that Y can't be found.



The Function:



lm_eqn <- function(df){
m <- lm(y ~ x, df);
eq <- substitute(italic(y) == a + b %.% italic(x)*","~~italic(r)^2~"="~r2,
list(a = format(coef(m)[1], digits = 2),
b = format(coef(m)[2], digits = 2),
r2 = format(summary(m)$r.squared, digits = 3)))
as.character(as.expression(eq));
}


My data sample and adapted code:



library(tidyverse)
set.seed(1)
id <- 1:5000
zip <- sample(100:200, 5000, replace = TRUE)
outcome <- rbinom(5000, 1, 0.23)
df <- data.frame(id, outcome, zip) %>% as_tibble()
new_df <- df %>% group_by(zip) %>% summarise(ratio = mean(outcome))

library(ggplot2)
t <- ggplot(data = new_df, aes(x = zip, y = ratio)) +
geom_smooth(method = "lm", se=FALSE, color="black", formula = y ~ x) +
geom_point()

t1 <- t + geom_text(x = 25, y = 300, label = lm_eqn(df), parse = TRUE)



Error in eval(predvars, data, env) : object 'y' not found




Where did I make the mistake? Thanks in advance!










share|improve this question




















  • 2





    Your function has the line m <- lm(y ~ x, df) but there is no variable called x or y in your df variable.

    – MrFlick
    Nov 28 '18 at 21:04











  • I have edited the function and I don't get an error anymore but no equation on the graph. I have changed the variables names from the example so I understand which operator does what but clearly I can't the see right answer. And I'm fairly new to R and functions especially.

    – Schillerlocke
    Nov 28 '18 at 22:25






  • 1





    Well, you are plotting the label at zip=25 and ratio=300. those values are outside where all your points are. Maybe choose a different position.

    – MrFlick
    Nov 28 '18 at 22:27











  • Thank you, it works now and I understand a bit more.

    – Schillerlocke
    Nov 28 '18 at 22:45
















0















I found a function that adds a regression line equation on graph.
Adding Regression Line Equation and R2 on graph
If I copy the function and data sample, everything works fine. But when I try to adapt the code, I get the message, that Y can't be found.



The Function:



lm_eqn <- function(df){
m <- lm(y ~ x, df);
eq <- substitute(italic(y) == a + b %.% italic(x)*","~~italic(r)^2~"="~r2,
list(a = format(coef(m)[1], digits = 2),
b = format(coef(m)[2], digits = 2),
r2 = format(summary(m)$r.squared, digits = 3)))
as.character(as.expression(eq));
}


My data sample and adapted code:



library(tidyverse)
set.seed(1)
id <- 1:5000
zip <- sample(100:200, 5000, replace = TRUE)
outcome <- rbinom(5000, 1, 0.23)
df <- data.frame(id, outcome, zip) %>% as_tibble()
new_df <- df %>% group_by(zip) %>% summarise(ratio = mean(outcome))

library(ggplot2)
t <- ggplot(data = new_df, aes(x = zip, y = ratio)) +
geom_smooth(method = "lm", se=FALSE, color="black", formula = y ~ x) +
geom_point()

t1 <- t + geom_text(x = 25, y = 300, label = lm_eqn(df), parse = TRUE)



Error in eval(predvars, data, env) : object 'y' not found




Where did I make the mistake? Thanks in advance!










share|improve this question




















  • 2





    Your function has the line m <- lm(y ~ x, df) but there is no variable called x or y in your df variable.

    – MrFlick
    Nov 28 '18 at 21:04











  • I have edited the function and I don't get an error anymore but no equation on the graph. I have changed the variables names from the example so I understand which operator does what but clearly I can't the see right answer. And I'm fairly new to R and functions especially.

    – Schillerlocke
    Nov 28 '18 at 22:25






  • 1





    Well, you are plotting the label at zip=25 and ratio=300. those values are outside where all your points are. Maybe choose a different position.

    – MrFlick
    Nov 28 '18 at 22:27











  • Thank you, it works now and I understand a bit more.

    – Schillerlocke
    Nov 28 '18 at 22:45














0












0








0








I found a function that adds a regression line equation on graph.
Adding Regression Line Equation and R2 on graph
If I copy the function and data sample, everything works fine. But when I try to adapt the code, I get the message, that Y can't be found.



The Function:



lm_eqn <- function(df){
m <- lm(y ~ x, df);
eq <- substitute(italic(y) == a + b %.% italic(x)*","~~italic(r)^2~"="~r2,
list(a = format(coef(m)[1], digits = 2),
b = format(coef(m)[2], digits = 2),
r2 = format(summary(m)$r.squared, digits = 3)))
as.character(as.expression(eq));
}


My data sample and adapted code:



library(tidyverse)
set.seed(1)
id <- 1:5000
zip <- sample(100:200, 5000, replace = TRUE)
outcome <- rbinom(5000, 1, 0.23)
df <- data.frame(id, outcome, zip) %>% as_tibble()
new_df <- df %>% group_by(zip) %>% summarise(ratio = mean(outcome))

library(ggplot2)
t <- ggplot(data = new_df, aes(x = zip, y = ratio)) +
geom_smooth(method = "lm", se=FALSE, color="black", formula = y ~ x) +
geom_point()

t1 <- t + geom_text(x = 25, y = 300, label = lm_eqn(df), parse = TRUE)



Error in eval(predvars, data, env) : object 'y' not found




Where did I make the mistake? Thanks in advance!










share|improve this question
















I found a function that adds a regression line equation on graph.
Adding Regression Line Equation and R2 on graph
If I copy the function and data sample, everything works fine. But when I try to adapt the code, I get the message, that Y can't be found.



The Function:



lm_eqn <- function(df){
m <- lm(y ~ x, df);
eq <- substitute(italic(y) == a + b %.% italic(x)*","~~italic(r)^2~"="~r2,
list(a = format(coef(m)[1], digits = 2),
b = format(coef(m)[2], digits = 2),
r2 = format(summary(m)$r.squared, digits = 3)))
as.character(as.expression(eq));
}


My data sample and adapted code:



library(tidyverse)
set.seed(1)
id <- 1:5000
zip <- sample(100:200, 5000, replace = TRUE)
outcome <- rbinom(5000, 1, 0.23)
df <- data.frame(id, outcome, zip) %>% as_tibble()
new_df <- df %>% group_by(zip) %>% summarise(ratio = mean(outcome))

library(ggplot2)
t <- ggplot(data = new_df, aes(x = zip, y = ratio)) +
geom_smooth(method = "lm", se=FALSE, color="black", formula = y ~ x) +
geom_point()

t1 <- t + geom_text(x = 25, y = 300, label = lm_eqn(df), parse = TRUE)



Error in eval(predvars, data, env) : object 'y' not found




Where did I make the mistake? Thanks in advance!







r






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 28 '18 at 21:22









MrFlick

124k11141173




124k11141173










asked Nov 28 '18 at 21:01









SchillerlockeSchillerlocke

246




246








  • 2





    Your function has the line m <- lm(y ~ x, df) but there is no variable called x or y in your df variable.

    – MrFlick
    Nov 28 '18 at 21:04











  • I have edited the function and I don't get an error anymore but no equation on the graph. I have changed the variables names from the example so I understand which operator does what but clearly I can't the see right answer. And I'm fairly new to R and functions especially.

    – Schillerlocke
    Nov 28 '18 at 22:25






  • 1





    Well, you are plotting the label at zip=25 and ratio=300. those values are outside where all your points are. Maybe choose a different position.

    – MrFlick
    Nov 28 '18 at 22:27











  • Thank you, it works now and I understand a bit more.

    – Schillerlocke
    Nov 28 '18 at 22:45














  • 2





    Your function has the line m <- lm(y ~ x, df) but there is no variable called x or y in your df variable.

    – MrFlick
    Nov 28 '18 at 21:04











  • I have edited the function and I don't get an error anymore but no equation on the graph. I have changed the variables names from the example so I understand which operator does what but clearly I can't the see right answer. And I'm fairly new to R and functions especially.

    – Schillerlocke
    Nov 28 '18 at 22:25






  • 1





    Well, you are plotting the label at zip=25 and ratio=300. those values are outside where all your points are. Maybe choose a different position.

    – MrFlick
    Nov 28 '18 at 22:27











  • Thank you, it works now and I understand a bit more.

    – Schillerlocke
    Nov 28 '18 at 22:45








2




2





Your function has the line m <- lm(y ~ x, df) but there is no variable called x or y in your df variable.

– MrFlick
Nov 28 '18 at 21:04





Your function has the line m <- lm(y ~ x, df) but there is no variable called x or y in your df variable.

– MrFlick
Nov 28 '18 at 21:04













I have edited the function and I don't get an error anymore but no equation on the graph. I have changed the variables names from the example so I understand which operator does what but clearly I can't the see right answer. And I'm fairly new to R and functions especially.

– Schillerlocke
Nov 28 '18 at 22:25





I have edited the function and I don't get an error anymore but no equation on the graph. I have changed the variables names from the example so I understand which operator does what but clearly I can't the see right answer. And I'm fairly new to R and functions especially.

– Schillerlocke
Nov 28 '18 at 22:25




1




1





Well, you are plotting the label at zip=25 and ratio=300. those values are outside where all your points are. Maybe choose a different position.

– MrFlick
Nov 28 '18 at 22:27





Well, you are plotting the label at zip=25 and ratio=300. those values are outside where all your points are. Maybe choose a different position.

– MrFlick
Nov 28 '18 at 22:27













Thank you, it works now and I understand a bit more.

– Schillerlocke
Nov 28 '18 at 22:45





Thank you, it works now and I understand a bit more.

– Schillerlocke
Nov 28 '18 at 22:45












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