(R-intro.info)Function and variable index
Appendix D Function and variable index
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[index ]
!- Logical vectors. (line 26)
- !=
- Logical vectors. (line 23)
- %*%
- Multiplication. (line 6)
- %o%
- The outer product of two arrays.
(line 11)
- &
- Logical vectors. (line 26)
- &&
- Conditional execution.
(line 13)
- *
- Vector arithmetic. (line 22)
- +
- Vector arithmetic. (line 22)
- -
- Vector arithmetic. (line 22)
- .
- Updating fitted models.
(line 12)
- .First
- Customizing the environment.
(line 45)
- .Last
- Customizing the environment.
(line 52)
- /
- Vector arithmetic. (line 22)
* ::: Namespaces. (line 6)
* :::: Namespaces. (line 6)
- <
- Logical vectors. (line 23)
- <<-
- Scope. (line 73)
- <=
- Logical vectors. (line 23)
- ==
- Logical vectors. (line 23)
- >
- Logical vectors. (line 23)
- >=
- Logical vectors. (line 23)
- ?
- Getting help. (line 15)
- ??
- Getting help. (line 43)
- ^
- Vector arithmetic. (line 22)
- |
- Logical vectors. (line 26)
- ||
- Conditional execution.
(line 13)
- ~
- Formulae for statistical models.
(line 92)
- abline
- Low-level plotting commands.
(line 36)
- ace
- Some non-standard models.
(line 37)
- add1
- Updating fitted models.
(line 38)
- anova
- Generic functions for extracting model information.
(line 18)
- anova <1>
- ANOVA tables. (line 18)
- aov
- Analysis of variance and model comparison.
(line 6)
- aperm
- Generalized transpose of an array.
(line 6)
- array
- The array() function.
(line 6)
- as.data.frame
- Making data frames. (line 12)
- as.vector
- The concatenation function c() with arrays.
(line 15)
- attach
- attach() and detach().
(line 6)
- attr
- Getting and setting attributes.
(line 6)
- attr <1>
- Getting and setting attributes.
(line 8)
- attributes
- Getting and setting attributes.
(line 6)
- attributes <1>
- Getting and setting attributes.
(line 6)
- avas
- Some non-standard models.
(line 37)
- axis
- Low-level plotting commands.
(line 73)
- boxplot
- One- and two-sample tests.
(line 28)
- break
- Repetitive execution.
(line 49)
- bruto
- Some non-standard models.
(line 39)
- c
- Vectors and assignment.
(line 12)
- c <1>
- Character vectors. (line 20)
- c <2>
- The concatenation function c() with arrays.
(line 20)
- c <3>
- Concatenating lists. (line 6)
- C
- Contrasts. (line 39)
- cbind
- Forming partitioned matrices.
(line 6)
- coef
- Generic functions for extracting model information.
(line 22)
- coefficients
- Generic functions for extracting model information.
(line 22)
- contour
- Display graphics. (line 38)
- contrasts
- Contrasts. (line 39)
- coplot
- Displaying multivariate data.
(line 22)
- cos
- Vector arithmetic. (line 24)
- crossprod
- Index matrices. (line 66)
- crossprod <1>
- Multiplication. (line 28)
- cut
- Frequency tables from factors.
(line 29)
- data
- Accessing builtin datasets.
(line 6)
- data.frame
- Making data frames. (line 8)
- density
- Examining the distribution of a set of data.
(line 49)
- det
- Singular value decomposition and determinants.
(line 31)
- detach
- attach() and detach().
(line 6)
- determinant
- Singular value decomposition and determinants.
(line 31)
- dev.list
- Multiple graphics devices.
(line 35)
- dev.next
- Multiple graphics devices.
(line 41)
- dev.off
- Multiple graphics devices.
(line 50)
- dev.prev
- Multiple graphics devices.
(line 41)
- dev.set
- Multiple graphics devices.
(line 45)
- deviance
- Generic functions for extracting model information.
(line 27)
- diag
- Multiplication. (line 33)
- dim
- Arrays. (line 20)
- dotchart
- Display graphics. (line 30)
- drop1
- Updating fitted models.
(line 38)
- ecdf
- Examining the distribution of a set of data.
(line 57)
- edit
- Editing data. (line 6)
- eigen
- Eigenvalues and eigenvectors.
(line 6)
- else
- Conditional execution.
(line 9)
- Error
- Analysis of variance and model comparison.
(line 17)
- example
- Getting help. (line 49)
- exp
- Vector arithmetic. (line 24)
- F
- Logical vectors. (line 12)
- factor
- Factors. (line 32)
- FALSE
- Logical vectors. (line 12)
- fivenum
- Examining the distribution of a set of data.
(line 8)
- for
- Repetitive execution.
(line 6)
- formula
- Generic functions for extracting model information.
(line 30)
- function
- Writing your own functions.
(line 22)
- getAnywhere
- Object orientation. (line 58)
- getS3method
- Object orientation. (line 58)
- glm
- The glm() function. (line 6)
- help
- Getting help. (line 6)
- help <1>
- Getting help. (line 11)
- help.search
- Getting help. (line 39)
- help.start
- Getting help. (line 30)
- hist
- Examining the distribution of a set of data.
(line 41)
- hist <1>
- Display graphics. (line 22)
- identify
- Interacting with graphics.
(line 31)
- if
- Conditional execution.
(line 6)
- if <1>
- Conditional execution.
(line 9)
- ifelse
- Conditional execution.
(line 18)
- image
- Display graphics. (line 38)
- is.na
- Missing values. (line 14)
- is.nan
- Missing values. (line 39)
- jpeg
- Device drivers. (line 37)
- ks.test
- Examining the distribution of a set of data.
(line 100)
- legend
- Low-level plotting commands.
(line 50)
- length
- Vector arithmetic. (line 27)
- length <1>
- The intrinsic attributes mode and length.
(line 42)
- levels
- Factors. (line 45)
- lines
- Low-level plotting commands.
(line 15)
- list
- Lists. (line 16)
- lm
- Linear models. (line 7)
- lme
- Some non-standard models.
(line 12)
- locator
- Interacting with graphics.
(line 11)
- loess
- Some non-standard models.
(line 17)
- loess <1>
- Some non-standard models.
(line 23)
- log
- Vector arithmetic. (line 24)
- lqs
- Some non-standard models.
(line 27)
- lsfit
- Least squares fitting and the QR decomposition.
(line 10)
- mars
- Some non-standard models.
(line 39)
- max
- Vector arithmetic. (line 25)
- mean
- Vector arithmetic. (line 31)
- methods
- Object orientation. (line 26)
- min
- Vector arithmetic. (line 25)
- mode
- The intrinsic attributes mode and length.
(line 42)
- NA
- Missing values. (line 9)
- NaN
- Missing values. (line 27)
- ncol
- Matrix facilities. (line 11)
- next
- Repetitive execution.
(line 52)
- nlm
- Nonlinear least squares and maximum likelihood models.
(line 9)
- nlm <1>
- Least squares. (line 33)
- nlm <2>
- Maximum likelihood. (line 27)
- nlme
- Some non-standard models.
(line 12)
- nlminb
- Nonlinear least squares and maximum likelihood models.
(line 9)
- nrow
- Matrix facilities. (line 11)
- optim
- Nonlinear least squares and maximum likelihood models.
(line 9)
- order
- Vector arithmetic. (line 42)
- ordered
- Ordered factors. (line 6)
- ordered <1>
- Ordered factors. (line 11)
- outer
- The outer product of two arrays.
(line 18)
- pairs
- Displaying multivariate data.
(line 10)
- par
- The par() function. (line 6)
- paste
- Character vectors. (line 22)
- pdf
- Device drivers. (line 32)
- persp
- Display graphics. (line 38)
- plot
- Generic functions for extracting model information.
(line 33)
- plot <1>
- The plot() function. (line 6)
- pmax
- Vector arithmetic. (line 49)
- pmin
- Vector arithmetic. (line 49)
- png
- Device drivers. (line 34)
- points
- Low-level plotting commands.
(line 15)
- polygon
- Low-level plotting commands.
(line 45)
- postscript
- Device drivers. (line 29)
- predict
- Generic functions for extracting model information.
(line 37)
- print
- Generic functions for extracting model information.
(line 43)
- prod
- Vector arithmetic. (line 28)
- qqline
- Examining the distribution of a set of data.
(line 71)
- qqline <1>
- Display graphics. (line 12)
- qqnorm
- Examining the distribution of a set of data.
(line 71)
- qqnorm <1>
- Display graphics. (line 12)
- qqplot
- Display graphics. (line 12)
- qr
- Least squares fitting and the QR decomposition.
(line 19)
- quartz
- Device drivers. (line 27)
- range
- Vector arithmetic. (line 27)
- rbind
- Forming partitioned matrices.
(line 6)
- read.table
- The read. table() function.
(line 6)
- rep
- Generating regular sequences.
(line 46)
- repeat
- Repetitive execution.
(line 41)
- resid
- Generic functions for extracting model information.
(line 46)
- residuals
- Generic functions for extracting model information.
(line 46)
- rlm
- Some non-standard models.
(line 31)
- rm
- Data permanency and removing objects.
(line 22)
- scan
- The scan() function. (line 6)
- sd
- The function tapply() and ragged arrays.
(line 41)
- search
- Managing the search path.
(line 6)
- seq
- Generating regular sequences.
(line 14)
- shapiro.test
- Examining the distribution of a set of data.
(line 91)
- sin
- Vector arithmetic. (line 24)
- sink
- Executing commands from or diverting output to a file.
(line 16)
- solve
- Linear equations and inversion.
(line 6)
- sort
- Vector arithmetic. (line 42)
- source
- Executing commands from or diverting output to a file.
(line 11)
- split
- Repetitive execution.
(line 29)
- sqrt
- Vector arithmetic. (line 24)
- stem
- Examining the distribution of a set of data.
(line 9)
- step
- Generic functions for extracting model information.
(line 51)
- step <1>
- Updating fitted models.
(line 38)
- sum
- Vector arithmetic. (line 28)
- summary
- Examining the distribution of a set of data.
(line 8)
- summary <1>
- Generic functions for extracting model information.
(line 57)
- svd
- Singular value decomposition and determinants.
(line 6)
- T
- Logical vectors. (line 12)
- t
- Generalized transpose of an array.
(line 18)
- t.test
- One- and two-sample tests.
(line 33)
- table
- Index matrices. (line 68)
- table <1>
- Frequency tables from factors.
(line 7)
- tan
- Vector arithmetic. (line 24)
- tapply
- The function tapply() and ragged arrays.
(line 6)
- text
- Low-level plotting commands.
(line 20)
- title
- Low-level plotting commands.
(line 69)
- tree
- Some non-standard models.
(line 55)
- TRUE
- Logical vectors. (line 12)
- unclass
- The class of an object.
(line 19)
- update
- Updating fitted models.
(line 8)
- var
- Vector arithmetic. (line 34)
- var <1>
- The function tapply() and ragged arrays.
(line 41)
- var.test
- One- and two-sample tests.
(line 66)
- vcov
- Generic functions for extracting model information.
(line 61)
- vector
- Vectors and assignment.
(line 12)
- while
- Repetitive execution.
(line 45)
- wilcox.test
- One- and two-sample tests.
(line 87)
- windows
- Device drivers. (line 25)
- X11
- Device drivers. (line 23)
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