The values read into z2 came from a CSV file. Please consider this R
session:
> length(x2)
[1] 1632
> length(x)
[1] 1632
> length(z2)
[1] 1632
> head(z2)
[1] 28914.0 28960.5 28994.5 29083.0 29083.0 29083.0
> tail(z2)
[1] 32729.65 32751.85 32386.05 32379.75 32379.15 31977.15
> lm ( y ~ x2 + x, z2 )
Error in eval(predvars, data, env) :
numeric 'envir' arg not of length one
> lm ( y ~ x2 + x, as.data.frme(z2) )
Error in as.data.frme(z2) : could not find function "as.data.frme"
> lm ( y ~ x2 + x, as.data.frame(z2) )
Error in eval(predvars, data, env) :
numeric 'envir' arg not of length one
lm(formula = y ~ x2 + x, data = as.data.frame(z2))
Coefficients:
(Intercept) x2 x
-1.475e-09 1.000e+00 6.044e-13
> min(z2)
[1] 24420
> max(z2)
[1] 35524.85
> class(z2)
[1] "numeric"
>
where x is set to x = seq(1:1632)
and x2 is set to x^2
I am looking for an interpolating polynomial of the form:
Ax^2 + Bx + C
I do not think the results I got make sense. I believe that I have a
data type error. I do not understand why
I need to convert z2 to a data frame if it is already numeric.
Thanks,
Bob
## This example, with your variable names, works correctly. z2 <- data.frame(y=1:5, x=c(1,5,2,3,5), x2=c(1,5,2,3,5)^2) z2 class(z2) length(z2) dim(z2) lm(y ~ x + x2, data=z2) ## note that that variable names y, x, x2 are column names of the ## data.frame z2 ## please review the definitions and examples of data.frame in ?data.frame ## also the argument requirements for lm in ?lm On Tue, Dec 18, 2018 at 6:32 PM rsherry8 <rsherry8 at comcast.net> wrote:> > The values read into z2 came from a CSV file. Please consider this R > session: > > > length(x2) > [1] 1632 > > length(x) > [1] 1632 > > length(z2) > [1] 1632 > > head(z2) > [1] 28914.0 28960.5 28994.5 29083.0 29083.0 29083.0 > > tail(z2) > [1] 32729.65 32751.85 32386.05 32379.75 32379.15 31977.15 > > lm ( y ~ x2 + x, z2 ) > Error in eval(predvars, data, env) : > numeric 'envir' arg not of length one > > lm ( y ~ x2 + x, as.data.frme(z2) ) > Error in as.data.frme(z2) : could not find function "as.data.frme" > > lm ( y ~ x2 + x, as.data.frame(z2) ) > Error in eval(predvars, data, env) : > numeric 'envir' arg not of length one > lm(formula = y ~ x2 + x, data = as.data.frame(z2)) > > Coefficients: > (Intercept) x2 x > -1.475e-09 1.000e+00 6.044e-13 > > > min(z2) > [1] 24420 > > max(z2) > [1] 35524.85 > > class(z2) > [1] "numeric" > > > > where x is set to x = seq(1:1632) > and x2 is set to x^2 > > I am looking for an interpolating polynomial of the form: > Ax^2 + Bx + C > I do not think the results I got make sense. I believe that I have a > data type error. I do not understand why > I need to convert z2 to a data frame if it is already numeric. > > Thanks, > Bob > > ______________________________________________ > 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.
Richard, It is now working. Thank you very much. Bob On 12/18/2018 7:10 PM, Richard M. Heiberger wrote:> ## This example, with your variable names, works correctly. > > z2 <- data.frame(y=1:5, x=c(1,5,2,3,5), x2=c(1,5,2,3,5)^2) > z2 > class(z2) > length(z2) > dim(z2) > > lm(y ~ x + x2, data=z2) > > ## note that that variable names y, x, x2 are column names of the > ## data.frame z2 > > ## please review the definitions and examples of data.frame in ?data.frame > ## also the argument requirements for lm in ?lm > > On Tue, Dec 18, 2018 at 6:32 PM rsherry8 <rsherry8 at comcast.net> wrote: >> The values read into z2 came from a CSV file. Please consider this R >> session: >> >> > length(x2) >> [1] 1632 >> > length(x) >> [1] 1632 >> > length(z2) >> [1] 1632 >> > head(z2) >> [1] 28914.0 28960.5 28994.5 29083.0 29083.0 29083.0 >> > tail(z2) >> [1] 32729.65 32751.85 32386.05 32379.75 32379.15 31977.15 >> > lm ( y ~ x2 + x, z2 ) >> Error in eval(predvars, data, env) : >> numeric 'envir' arg not of length one >> > lm ( y ~ x2 + x, as.data.frme(z2) ) >> Error in as.data.frme(z2) : could not find function "as.data.frme" >> > lm ( y ~ x2 + x, as.data.frame(z2) ) >> Error in eval(predvars, data, env) : >> numeric 'envir' arg not of length one >> lm(formula = y ~ x2 + x, data = as.data.frame(z2)) >> >> Coefficients: >> (Intercept) x2 x >> -1.475e-09 1.000e+00 6.044e-13 >> >> > min(z2) >> [1] 24420 >> > max(z2) >> [1] 35524.85 >> > class(z2) >> [1] "numeric" >> > >> >> where x is set to x = seq(1:1632) >> and x2 is set to x^2 >> >> I am looking for an interpolating polynomial of the form: >> Ax^2 + Bx + C >> I do not think the results I got make sense. I believe that I have a >> data type error. I do not understand why >> I need to convert z2 to a data frame if it is already numeric. >> >> Thanks, >> Bob >> >> ______________________________________________ >> 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.