Machine-Learning-with-R-Cookbook-master
https://github.com/PacktPublishing/Machine-Learning-with-R-Cookbook
Machine-Learning-with-R-Cookbook-Second-Edition-master
Installing 'RPostgreSQL' ...
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* installing *source* package ‘RPostgreSQL’ ...
** package ‘RPostgreSQL’ successfully unpacked and MD5 sums checked
** using staged installation
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configure: Using internal package libpq-fe.h
checking for "src/libpq/libpq-fe.h"... yes
configure: creating ./config.status
config.status: creating src/Makevars
** libs
gcc -I"/usr/local/lib/R/include" -DNDEBUG -Isrc/libpq -I/usr/local/include -fpic -g -O2 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -c RS-DBI.c -o RS-DBI.o
gcc -I"/usr/local/lib/R/include" -DNDEBUG -Isrc/libpq -I/usr/local/include -fpic -g -O2 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -c RS-PQescape.c -o RS-PQescape.o
In file included from RS-PQescape.c:7:
RS-PostgreSQL.h:23:14: fatal error: libpq-fe.h: No such file or directory
23 | # include "libpq-fe.h"
| ^~~~~~~~~~~~
compilation terminated.
make: *** [/usr/local/lib/R/etc/Makeconf:172: RS-PQescape.o] Error 1
ERROR: compilation failed for package ‘RPostgreSQL’
* removing ‘/usr/local/lib/R/site-library/RPostgreSQL’
The downloaded source packages are in
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✔ Package 'RPostgreSQL' successfully installed.
Warning message:
In utils::install.packages("RPostgreSQL", repos = "https://packagemanager.rstudio.com/all/__linux__/focal/latest") :
installation of package ‘RPostgreSQL’ had non-zero exit status
> class(x)
[1] "numeric"
** Installing R Packages: 'Amelia', 'corrplot'
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* installing *binary* package ‘RcppArmadillo’ ...
* DONE (RcppArmadillo)
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* installing *binary* package ‘corrplot’ ...
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✔ Packages successfully installed.
> class(AirPassengers)
[1] "ts"
> data()
> sample(1:10)
[1] 10 2 4 5 3 8 7 1 9 6
> install.packages("car")
Installing package into ‘/usr/local/lib/R/site-library’
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also installing the dependencies ‘backports’, ‘evaluate’, ‘highr’, ‘markdown’, ‘xfun’, ‘matrixStats’, ‘broom’, ‘knitr’, ‘SparseM’, ‘MatrixModels’, ‘conquer’, ‘sp’, ‘minqa’, ‘nloptr’, ‘statmod’, ‘carData’, ‘abind’, ‘pbkrtest’, ‘quantreg’, ‘maptools’, ‘lme4’
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* installing *binary* package ‘backports’ ...
* DONE (backports)
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* DONE (evaluate)
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* DONE (xfun)
* installing *binary* package ‘matrixStats’ ...
* DONE (matrixStats)
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* DONE (SparseM)
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* DONE (MatrixModels)
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* DONE (sp)
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* DONE (minqa)
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* DONE (nloptr)
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* DONE (statmod)
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* DONE (markdown)
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* DONE (conquer)
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* DONE (quantreg)
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* DONE (pbkrtest)
* installing *binary* package ‘car’ ...
* DONE (car)
The downloaded source packages are in
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> library(car)
Loading required package: carData
Attaching package: ‘car’
The following object is masked from ‘package:arules’:
recode
> install.packages("survival")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
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* installing *binary* package ‘survival’ ...
* DONE (survival)
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> install.packages("C50")
Installing package into ‘/usr/local/lib/R/site-library’
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* installing *binary* package ‘C50’ ...
* DONE (C50)
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> library(C50)
> library(e1071)
> model =svm(churn~., data = trainset, kernel="radial", cost=1, gamma = 1/ncol(trainset))
Error in eval(expr, p) : object 'trainset' not found
> ind = cut(1:nrow(churnTrain), breaks=10, labels=F)
Error in nrow(churnTrain) : object 'churnTrain' not found
> install.packages("SuperLearner")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
also installing the dependencies ‘caTools’, ‘gplots’, ‘ROCR’, ‘nnls’, ‘cvAUC’
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* installing *binary* package ‘caTools’ ...
* DONE (caTools)
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* DONE (nnls)
* installing *binary* package ‘gplots’ ...
* DONE (gplots)
* installing *binary* package ‘ROCR’ ...
* DONE (ROCR)
* installing *binary* package ‘cvAUC’ ...
* DONE (cvAUC)
* installing *binary* package ‘SuperLearner’ ...
* DONE (SuperLearner)
The downloaded source packages are in
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> install.packages("caret")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
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* installing *binary* package ‘caret’ ...
* DONE (caret)
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> install.packages("glmnet")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
also installing the dependency ‘shape’
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* installing *binary* package ‘shape’ ...
* DONE (shape)
* installing *binary* package ‘glmnet’ ...
* DONE (glmnet)
The downloaded source packages are in
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> install.packages("xgboost")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
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* installing *binary* package ‘xgboost’ ...
* DONE (xgboost)
The downloaded source packages are in
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> install.packages("randomForest")
Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
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* installing *binary* package ‘randomForest’ ...
* DONE (randomForest)
The downloaded source packages are in
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> library(SuperLearner)
Loading required package: nnls
Super Learner
Version: 2.0-26
Package created on 2019-10-27
> data(Boston, package="MASS")
> training = sample(nrow(Boston), 100)
> X = Boston[training, ]
> X_Hold = Boston[-training, ]
> Y = Boston$medv[training, ]
Error in Boston$medv[training, ] : incorrect number of dimensions
> Y_Hold = Boston$medv[-training, ]
Error in Boston$medv[-training, ] : incorrect number of dimensions
> customer= read.csv('customer.csv', header=TRUE)
Error in file(file, "rt") : cannot open the connection
In addition: Warning message:
In file(file, "rt") :
cannot open file 'customer.csv': No such file or directory
> head(customer)
Error in h(simpleError(msg, call)) :
error in evaluating the argument 'x' in selecting a method for function 'head': object 'customer' not found
>
> library(arules)
Loading required package: Matrix
Attaching package: ‘arules’
The following objects are masked from ‘package:base’:
abbreviate, write
> tr_list = list(c("Apple", "Bread", "Cake"),
+ c("Apple", "Bread", "Milk"),
+ c("Bread", "Cake", "Milk"))
> names(tr_list) = paste("Tr",c(1:3), sep = "")
> trans = as(tr_list, "transactions")
> trans
transactions in sparse format with
3 transactions (rows) and
4 items (columns)
> tr_matrix = matrix(
+ c(1,1,1,0,
+ 1,1,0,1,
+ 0,1,1,1), ncol = 4)
> dimnames(tr_matrix) = list(
+ paste("Tr",c(1:3), sep = ""),
+ c("Apple","Bread","Cake", "Milk")
+ )
> trans2 = as(tr_matrix, "transactions")
> trans2
transactions in sparse format with
3 transactions (rows) and
4 items (columns)
> Tr_df = data.frame(
+ TrID= as.factor(c(1,2,1,1,2,3,2,3,2,3)),
+ Item = as.factor(c("Apple","Milk","Cake","Bread",
+ "Cake","Milk","Apple","Cake","Bread","Bread")))
> trans3 = as(split(Tr_df[,"Item"], Tr_df[,"TrID"]), "trans-actions")
Error in as(split(Tr_df[, "Item"], Tr_df[, "TrID"]), "trans-actions") :
no method or default for coercing “list” to “trans-actions”
> trans3
Error: object 'trans3' not found
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