Hi,
I tried to install Deducer on an Gentoo Linux AMD64 and received the
following error messages:
install.packages("Deducer",,"http://cran.r-project.org";)
trying URL 'http://cran.r-project.org/src/contrib/Deducer_0.1-0.tar.gz'
Content type 'application/x-gzip' length 2123646 bytes (2.0 Mb)
opened URL
==================================================
downloaded 2.0 Mb
* Installing *source* package 'Deducer' ...
** R
** inst
** preparing package for lazy loading
Loading required package: proto
Loading required package: grid
Loading required package: reshape
Loading required package: plyr
Attaching package: 'ggplot2'
The following object(s) are masked from package:grid :
nullGrob
Error : package 'JGR' 1.7-0 was found, but < 1.7 is required by 'Deducer'
ERROR: lazy loading failed for package 'Deducer'
* Removing '/usr/lib64/R/library/Deducer'
The downloaded packages are in
'/tmp/RtmpWnRZ0y/downloaded_packages'
Updating HTML index of packages in '.Library'
Warning message:
In install.packages("Deducer", , "http://cran.r-project.org";) :
installation of package 'Deducer' had non-zero exit status
Jan Vandermeer
On Mon, Aug 3, 2009 at 2:21 PM, Ian Fellows <[email protected]> wrote:
> Hi All,
>
> I am seeking comments, suggestions, bugs, and users for a data analysis
> GUI that has just been released to CRAN. One of the first areas that I
> think
> that this GUI could be of use is in the classroom, so your comments would
> be
> very valuable to me. An online manual is available (though under
> construction) here:
>
> http://www.deducer.org/pmwiki/pmwiki.php?n=Main.DeducerManual
>
> I'd appreciate any feedback or bugs. I'm particularly interested in
> experiences using it from within non-JGR GUI's, and under Linux. If any of
> you teach introductory/intermediate statistics, I'd like to know how you
> would feel about using it in the classroom.
>
> TIA,
> Ian
>
>
> p.s. Installation instructions:
> install.packages("Deducer",,"http://cran.r-project.org";)
>
>
>
>
> ---------------------------------------------------------------------------
>
>
> Deducer 0.1 has been released to CRAN
>
> Deducer is designed to be a free, easy to use, alternative to proprietary
> software such as SPSS, JMP, and Minitab. It has a menu system to do common
> data manipulation and data analysis tasks, and an excel-like spreadsheet in
> which to view and edit data frames. The goal of the project is to two fold.
>
> 1. Provide an intuitive interface so that non-technical users
> can learn and perform analyses without programming getting
> in their way.
> 2. Increase the efficiency of expert R users when performing
> common tasks by replacing hundreds of keystrokes with a few
> mouse clicks. Also, as much as possible the GUI should not
> get in their way if they just want to do some programming.
>
> Deducer is integrated into the Windows RGui, and the cross-platform Java
> console JGR, and is also usable and accessible from the command line.
> Screen shots and examples can be viewed in the online wiki manual:
>
> http://www.deducer.org/pmwiki/pmwiki.php?n=Main.DeducerManual
>
> Comments and questions are more than welcome. A discussion group has been
> created for any questions or recommendations.
>
> http://groups.google.com/group/deducer
>
> Deducer Features:
>
> Data manipulation:
> 1. Factor editor
> 2. Variable recoding
> 3. data sorting
> 4. data frame merging
> 5. transposing a data frame
> 6. subseting
>
> Analysis:
> 1. Frequencies
> 2. Descriptives
> 3. Contingency tables
> a. Nicely formatted tables with optional
> i. Percentages
> ii. Expected counts
> iii. Residuals
> b. Statistical tests
> i. chi-squared
> ii. likelihood ratio
> iii. fisher's exact
> iv. mantel haenszel
> v. kendall's tau
> vi. spearman's rho
> vii. kruskal-wallis
> viii. mid-p values for all exact/monte carlo tests
> 4. One sample tests
> a. T-test
> b. Shapiro-wilk
> c. Histogram/box-plot summaries
> 5. Two sample tests
> a. T-test (student and welch)
> b. Permutation test
> c. Wilcoxon
> d. Brunner-munzel
> e. Kolmogorov-smirnov
> f. Jitter/box-plot group comparison
> 6. K-sample tests
> a. Anova (usual and welch)
> b. Kruskal-wallis
> c. Jitter/boxplot comparison
> 7. Correlation
> a. Nicely formatted correlation matrices
> b. Pearson's
> c. Kendall's
> d. Spearman's
> e. Scatterplot paneled array
> f. Circle plot
> g. Full correlation matrix plot
> 8.Generalized Linear Models
> a. Model preview
> b. Intuitive model builder
> c. diagnostic plots
> d. Component residual and added variable plots
> e. Anova (type II and III implementing LR, Wald and F tests)
> f. Parameter summary tables and parameter correlations
> g. Influence and colinearity diagnostics
> h. Post-hoc tests and confidence intervals
> with (or without) adjustments for multiple testing.
> i. Custom linear hypothesis tests
> j. Effect mean summaries (with confidence intervals), and
> plots
> k. Exports: Residuals, Standardized residuals, Studentized
> residuals, Predicted Values (linear and link), Cooks
> distance, DFBETA, DFFITS, hat values, and Cov Ratio
> l. Observation weights and subseting
> 9. Logistic Regression
> a. All GLM features
> b. ROC Plot
> 10. Linear Model
> a. All GLM features
> b. Heteroskedastic robust tests
>
> _______________________________________________
> [email protected] mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
>
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