Readers,
Using version 251 I tried the following command:
lm(y~a+b,data=datafile)
Resulting in, inter alia:
...
coefficients
(intercept) a
1.2 3.4
Packages installed:
acepack ace() and avas() for selecting regression
transformations
adlift An adaptive lifting scheme algorithm
akima Interpolation of irregularly spaced data
alr3 Methods and data to accompany Applied Linear
Regression 3rd edition
car Companion to Applied Regression
coda Output analysis and diagnostics for MCMC
drc Analysis of dose-response curves
EbayesThresh Empirical Bayes thresholding and related
methods
emplik Empirical likelihood ratio for
censored/truncated data
gllm Generalised log-linear model
glmc Fitting Generalized Linear Models Subject to
Constraints
glmmML Generalized linear models with clustering
glmpath L1 Regularization Path for Generalized Linear
Models and Cox Proportional Hazards Model
HydroMe Estimation of Soil Hydraulic Parameters from
Experimental Data
JGR JGR - Java Gui for R
lmtest Testing Linear Regression Models
locfit Local Regression, Likelihood and Density
Estimation.
mvtnorm Multivariate Normal and t Distributions
NISTnls Nonlinear least squares examples from NIST
nlme Linear and Nonlinear Mixed Effects Models
nlstools Tools for nonlinear regression diagnostics
nlt A nondecimated lifting transform for signal
denoising
nlts (non)linear time series analysis
nnls The Lawson-Hanson algorithm for non-negative
least squares (NNLS)
plotrix Various plotting functions
quantreg Quantile Regression
Rcmdr ** No title available (pre-2.0.0 install?) **
sandwich Robust Covariance Matrix Estimators
SparseM Sparse Linear Algebra
sspline Smoothing Splines on the Sphere
zoo Z's ordered observations
Packages in library '/usr/lib/R/library':
base The R Base Package
boot Bootstrap R (S-Plus) Functions (Canty)
class Functions for Classification
cluster Cluster Analysis Extended Rousseeuw et al.
codetools Code Analysis Tools for R
datasets The R Datasets Package
foreign Read Data Stored by Minitab, S, SAS, SPSS,
Stata, Systat, dBase, ...
graphics The R Graphics Package
grDevices The R Graphics Devices and Support for Colours
and Fonts
grid The Grid Graphics Package
KernSmooth Functions for kernel smoothing for Wand & Jones
(1995)
lattice Lattice Graphics
MASS Main Package of Venables and Ripley's MASS
methods Formal Methods and Classes
mgcv GAMs with GCV smoothness estimation and GAMMs
by REML/PQL
nlme Linear and Nonlinear Mixed Effects Models
nnet Feed-forward Neural Networks and Multinomial
Log-Linear Models
quadprog Functions to solve Quadratic Programming
lattice Lattice Graphics
MASS Main Package of Venables and Ripley's MASS
methods Formal Methods and Classes
mgcv GAMs with GCV smoothness estimation and GAMMs
by REML/PQL
nlme Linear and Nonlinear Mixed Effects Models
nnet Feed-forward Neural Networks and Multinomial
Log-Linear Models
quadprog Functions to solve Quadratic Programming
Problems.
rcompgen Completion generator for R
rpart Recursive Partitioning
spatial Functions for Kriging and Point Pattern
Analysis
splines Regression Spline Functions and Classes
stats The R Stats Package
stats4 Statistical Functions using S4 Classes
survival Survival analysis, including penalised
likelihood.
tcltk Tcl/Tk Interface
tools Tools for Package Development
utils The R Utils Package
When using version 171 I entered the same command:
lm(y~a+b,data=datafile)
Resulting in, inter alia:
...
coefficients
(intercept) a b
5.6 7.8 9.01
Packages installed:
base The R base package
boot Bootstrap R (S-Plus) Functions (Canty)
class Functions for classification
cluster Functions for clustering (by Rousseeuw et al.)
ctest Classical Tests
eda Exploratory Data Analysis
foreign Read data stored by Minitab, S, SAS, SPSS,
Stata, ...
grid The Grid Graphics Package
KernSmooth Functions for kernel smoothing for Wand &
Jones (1995)
lattice Lattice Graphics
lqs Resistant Regression and Covariance Estimation
MASS Main Library of Venables and Ripley's MASS
methods Formal Methods and Classes
mgcv Multiple smoothing parameter estimation and
GAMs by GCV
modreg Modern Regression: Smoothing and Local Methods
mva Classical Multivariate Analysis
nlme Linear and nonlinear mixed effects models
nls Nonlinear regression
lqs Resistant Regression and Covariance Estimation
MASS Main Library of Venables and Ripley's MASS
methods Formal Methods and Classes
mgcv Multiple smoothing parameter estimation and
GAMs by GCV
modreg Modern Regression: Smoothing and Local Methods
mva Classical Multivariate Analysis
nlme Linear and nonlinear mixed effects models
nls Nonlinear regression
nnet Feed-forward neural networks and multinomial
log-linear models
rpart Recursive partitioning
spatial functions for kriging and point pattern
analysis
splines Regression Spline Functions and Classes
stepfun Step Functions, including Empirical
Distributions
survival Survival analysis, including penalised
likelihood.
tcltk Tcl/Tk Interface
tools Tools for package development
ts Time series functions
Why do I get different results when entering the same equation
command? The correct answer was obtained using the older version of
the software, so I want to replicate using the new version, which is
installed onto a new pc that I am using. Any advice.
Yours,
[EMAIL PROTECTED]
______________________________________________
R-help@r-project.org mailing list
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.
