Different parametrization

Load packages

library(ISwR)

Analyze

data(cystfibr)

## Create a -1,+1 coded sex2
cystfibr$sex2 <- cystfibr$sex
cystfibr$sex2[cystfibr$sex2 == 0] <- -1

head(cystfibr)
##   age sex height weight bmp fev1  rv frc tlc pemax sex2
## 1   7   0    109   13.1  68   32 258 183 137    95   -1
## 2   7   1    112   12.9  65   19 449 245 134    85    1
## 3   8   0    124   14.1  64   22 441 268 147   100   -1
## 4   8   1    125   16.2  67   41 234 146 124    85    1
## 5   8   0    127   21.5  93   52 202 131 104    95   -1
## 6   9   0    130   17.5  68   44 308 155 118    80   -1
## 0/1
summary(lm(pemax ~ age + sex + height + weight + bmp + fev1 + rv + frc + tlc, data = cystfibr))
## 
## Call:
## lm(formula = pemax ~ age + sex + height + weight + bmp + fev1 + 
##     rv + frc + tlc, data = cystfibr)
## 
## Residuals:
##    Min     1Q Median     3Q    Max 
## -37.34 -11.53   1.08  13.39  33.41 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)
## (Intercept)  176.058    225.891    0.78     0.45
## age           -2.542      4.802   -0.53     0.60
## sex           -3.737     15.460   -0.24     0.81
## height        -0.446      0.903   -0.49     0.63
## weight         2.993      2.008    1.49     0.16
## bmp           -1.745      1.155   -1.51     0.15
## fev1           1.081      1.081    1.00     0.33
## rv             0.197      0.196    1.00     0.33
## frc           -0.308      0.492   -0.63     0.54
## tlc            0.189      0.500    0.38     0.71
## 
## Residual standard error: 25.5 on 15 degrees of freedom
## Multiple R-squared:  0.637,  Adjusted R-squared:  0.42 
## F-statistic: 2.93 on 9 and 15 DF,  p-value: 0.032
## -1/+1
summary(lm(pemax ~ age + sex2 + height + weight + bmp + fev1 + rv + frc + tlc, data = cystfibr))
## 
## Call:
## lm(formula = pemax ~ age + sex2 + height + weight + bmp + fev1 + 
##     rv + frc + tlc, data = cystfibr)
## 
## Residuals:
##    Min     1Q Median     3Q    Max 
## -37.34 -11.53   1.08  13.39  33.41 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)
## (Intercept)  174.190    222.742    0.78     0.45
## age           -2.542      4.802   -0.53     0.60
## sex2          -1.868      7.730   -0.24     0.81
## height        -0.446      0.903   -0.49     0.63
## weight         2.993      2.008    1.49     0.16
## bmp           -1.745      1.155   -1.51     0.15
## fev1           1.081      1.081    1.00     0.33
## rv             0.197      0.196    1.00     0.33
## frc           -0.308      0.492   -0.63     0.54
## tlc            0.189      0.500    0.38     0.71
## 
## Residual standard error: 25.5 on 15 degrees of freedom
## Multiple R-squared:  0.637,  Adjusted R-squared:  0.42 
## F-statistic: 2.93 on 9 and 15 DF,  p-value: 0.032