why warnings message is there after running the plm regression
On 02/15/2014 03:19 PM, Ramesh Chandra Das wrote:
beer<- read.csv("C:/Users/Administrator/Desktop/beer.csv")>
View(beer)> attach(beer)The following objects are masked from chem_1:
C_SALE, CFO, Company, DISEX, PPE, REV, ROA, SALE, TA, TAC, Year>
library(plm)> y<-cbind(TAC)> x<-cbind(TA,REV,PPE,ROA)>
pdata<-plm.data(beer,index=c("Company","Year"))>
pooling<-plm(y~x,data=pdata,model="pooling")> summary(pooling)Oneway
(individual) effect Pooling Model
Call:
plm(formula = y ~ x, data = pdata, model = "pooling")
Balanced Panel: n=14, T=10, N=140
Residuals :
Min. 1st Qu. Median 3rd Qu. Max.
-3.70000 -0.20500 -0.00497 0.19400 1.16000
Coefficients :
Estimate Std. Error t-value Pr(>|t|)
(Intercept) -0.048250 0.094661 -0.5097 0.6110848
xTA -68.865413 25.424371 -2.7086 0.0076314 **
xREV 0.363786 0.092291 3.9417 0.0001293 ***
xPPE 0.551753 0.202364 2.7265 0.0072501 **
xROA 0.953009 0.031102 30.6414< 2.2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Total Sum of Squares: 426.26
Residual Sum of Squares: 32.02
R-Squared : 0.92488
Adj. R-Squared : 0.89185
F-statistic: 415.539 on 4 and 135 DF, p-value:< 2.22e-16Warning
messages:1: In if (is.na(le)) { :
the condition has length> 1 and only the first element will be
used2: In if (is.na(le)) " __no length(.)__ " else if (give.length) {
:
the condition has length> 1 and only the first element will be
used3: In if (le> 0) paste0("[1:", paste(le), "]") else "(0)" :
the condition has length> 1 and only the first element will be used
After running I found this warnings message. would some help me to find
out this problem.
Hi Ramesh, This warning is given when a vector like this: le<-c(4,2,6,5) is used in a test like this: if(is.na(le)) ... R only looks at the first value in the vector for the test, but warns you that there were other values that were not tested. If the test was: if(is.na(le[1])) It doesn't matter if "le" has only one value or more than one and you don't get the warning. It usually doesn't mess anything up. Jim