I have a related question. Suppose I generate a series of linear models
modco=list()
modco[[length(modco)+1]]=lm(normskvop ~ I(nts^0.5)-1, data = colo,
weights=wtz)
modco[[length(modco)+1]]=lm(normskvop ~ I(nts^0.5)-1, data = colo,
weights=wtz, subset=sector!="X")
modco[[length(modco)+1]]=lm(normskvop ~ I(nts^0.5)-1, data = colo,
weights=wtz, subset=sector!="A")
modco[[length(modco)+1]]=lm(normskvop ~ I(nts^0.5)-1, data = colo,
weights=wtz, subset=sector=="A")
modco[[length(modco)+1]]=lm(normskvop ~ I(nts^0.5)-1, data = colo,
weights=wtz, subset=sector=="M")
I would like to have a table of the coefficients (including the t value &
the Pr(>|t|) value) of the five models akin to Peter Dalgaard's elegant
"sapply(t,unlist)" solution below.
For reference, here is the summary of modco[[1]]
summary(modco[[1]])
Call:
lm(formula = normskvop ~ I(nts^0.5) - 1, data = colo, weights = wtz)
Residuals:
Min 1Q Median 3Q Max
-525.3071 -1.3386 0.2369 1.7981 594.7388
Coefficients:
Estimate Std. Error t value Pr(>|t|)
I(nts^0.5) -0.58329 0.08453 -6.901 6.2e-12 ***
---
Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1
Residual standard error: 34.04 on 3232 degrees of freedom
Multiple R-Squared: 0.01452, Adjusted R-squared: 0.01422
F-statistic: 47.62 on 1 and 3232 DF, p-value: 6.199e-12
Thanks in advance,
Daniel Dunn, M.D., Ph.D.
309 SE Osceola St. #350
Stuart, FL 34994
-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On
Behalf Of Peter Dalgaard
Sent: Tuesday, February 05, 2008 4:59 AM
To: Uwe Ligges
Cc: r-help
Subject: Re: [R] How to generate table output of t-test
Uwe Ligges wrote:
> Ng Stanley wrote:
>
>> Hi,
>>
>> Given
>>
>> test <- matrix(c(1, 1,2,2), 2,2)
>> t <- apply(test, 1, t.test)
>>
> >
>
>> How can I obtain a table of p-values, confidence interval etc,
>> instead of
>>
>
> A quick hack would be:
>
> m <- t(sapply(t, function(x) c(x[["p.value"]], x[["conf.int"]])))
> colnames(m) <- c("p", "lwr", "upr")
> m
>
>
Even quicker:
> sapply(t,unlist)
[,1] [,2]
statistic.t "3" "3"
parameter.df "1" "1"
p.value "0.204832764699133" "0.204832764699133"
conf.int1 "-4.85310236808735" "-4.85310236808735"
conf.int2 "7.85310236808735" "7.85310236808735"
estimate.mean of x "1.5" "1.5"
null.value.mean "0" "0"
alternative "two.sided" "two.sided"
method "One Sample t-test" "One Sample t-test"
data.name "newX[, i]" "newX[, i]"
Or maybe
> sapply(lapply(t,"[",1:6),unlist)
[,1] [,2]
statistic.t 3.0000000 3.0000000
parameter.df 1.0000000 1.0000000
p.value 0.2048328 0.2048328
conf.int1 -4.8531024 -4.8531024
conf.int2 7.8531024 7.8531024
estimate.mean of x 1.5000000 1.5000000
null.value.mean 0.0000000 0.0000000
--
O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907
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and provide commented, minimal, self-contained, reproducible code.
