R - Change back to regression plot after using par(mfrow) command.
I created a linear model fit=lm(x~y) and then ran the par(mfrow = c(2, 2)) command, so that now every time I run the plot(fit) command it will generate four diagnostic plots for the linear model: "Residuals vs Fitted", "Normal Q-Q", "Scale-Location", "Residuals vs Leverage". But now I want to simply display the y against x scatter plot using the plot(fit) command, yet even after I set par(mfrow = c(1, 1)), it still draws the four plots mentioned above, only one at a time, instead of drawing a y against x plot. How do I make it draw a simple y against x scatter plot then?
r regression
asked Nov 25 '18 at 6:15
PsychoComPsychoCom
73
add a comment |
I created a linear model fit=lm(x~y) and then ran the par(mfrow = c(2, 2)) command, so that now every time I run the plot(fit) command it will generate four diagnostic plots for the linear model: "Residuals vs Fitted", "Normal Q-Q", "Scale-Location", "Residuals vs Leverage". But now I want to simply display the y against x scatter plot using the plot(fit) command, yet even after I set par(mfrow = c(1, 1)), it still draws the four plots mentioned above, only one at a time, instead of drawing a y against x plot. How do I make it draw a simple y against x scatter plot then?
r regression
asked Nov 25 '18 at 6:15
PsychoComPsychoCom
73
As a side note, I usually save the old valuesold_par <- par(<new_value>)then, when done plotting,par(old_par).
– Rui Barradas
Nov 25 '18 at 6:52
add a comment |
I created a linear model fit=lm(x~y) and then ran the par(mfrow = c(2, 2)) command, so that now every time I run the plot(fit) command it will generate four diagnostic plots for the linear model: "Residuals vs Fitted", "Normal Q-Q", "Scale-Location", "Residuals vs Leverage". But now I want to simply display the y against x scatter plot using the plot(fit) command, yet even after I set par(mfrow = c(1, 1)), it still draws the four plots mentioned above, only one at a time, instead of drawing a y against x plot. How do I make it draw a simple y against x scatter plot then?
r regression
asked Nov 25 '18 at 6:15
PsychoComPsychoCom
73
I created a linear model fit=lm(x~y) and then ran the par(mfrow = c(2, 2)) command, so that now every time I run the plot(fit) command it will generate four diagnostic plots for the linear model: "Residuals vs Fitted", "Normal Q-Q", "Scale-Location", "Residuals vs Leverage". But now I want to simply display the y against x scatter plot using the plot(fit) command, yet even after I set par(mfrow = c(1, 1)), it still draws the four plots mentioned above, only one at a time, instead of drawing a y against x plot. How do I make it draw a simple y against x scatter plot then?
r regression
r regression
asked Nov 25 '18 at 6:15
PsychoComPsychoCom
73
asked Nov 25 '18 at 6:15
PsychoComPsychoCom
73
asked Nov 25 '18 at 6:15
PsychoComPsychoCom
73
asked Nov 25 '18 at 6:15
PsychoComPsychoCom
73
asked Nov 25 '18 at 6:15
PsychoComPsychoCom
73
73
As a side note, I usually save the old valuesold_par <- par(<new_value>)then, when done plotting,par(old_par).
– Rui Barradas
Nov 25 '18 at 6:52
add a comment |
As a side note, I usually save the old valuesold_par <- par(<new_value>)then, when done plotting,par(old_par).
– Rui Barradas
Nov 25 '18 at 6:52
As a side note, I usually save the old values
old_par <- par(<new_value>) then, when done plotting, par(old_par).– Rui Barradas
Nov 25 '18 at 6:52
As a side note, I usually save the old values
old_par <- par(<new_value>) then, when done plotting, par(old_par).– Rui Barradas
Nov 25 '18 at 6:52
add a comment |
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As a side note, I usually save the old values
old_par <- par(<new_value>)then, when done plotting,par(old_par).– Rui Barradas
Nov 25 '18 at 6:52