R 4.4.0 - en to en translation catalogue (416 entries)

en: %s needs package 'Matrix' correctly installed
en: %s needs package ‘Matrix’ correctly installed

en: '%s' cannot be of mode '%s'
en: ‘%s’ cannot be of mode ‘%s’

en: '%s' must be a character string
en: ‘%s’ must be a character string

en: '%s' must be numeric in [0, 1]
en: ‘%s’ must be numeric in [0, 1]

en: 'A' must be an array or table
en: ‘A’ must be an array or table

en: 'ColSideColors' must be a character vector of length ncol(x)
en: ‘ColSideColors’ must be a character vector of length ncol(x)

en: 'P.values' is TRUE, but 'has.Pvalue' is not
en: ‘P.values’ is TRUE, but ‘has.Pvalue’ is not

en: 'RowSideColors' must be a character vector of length nrow(x)
en: ‘RowSideColors’ must be a character vector of length nrow(x)

en: 'T' must be nonnegative
en: ‘T’ must be nonnegative

en: 'V' is not a square numeric matrix
en: ‘V’ is not a square numeric matrix

en: 'X' is not a dendrogram
en: ‘X’ is not a dendrogram

en: 'X' matrix has %d case (row) | 'X' matrix has %d cases (rows)
en[0]: ‘X’ matrix has %d case (row)
en[1]: ‘X’ matrix has %d cases (rows)

en: 'X' matrix was collinear
en: ‘X’ matrix was collinear

en: 'Y' has %d case (row) | 'Y' has %d cases (rows)
en[0]: ‘Y’ has %d case (row)
en[1]: ‘Y’ has %d cases (rows)

en: 'acf' must be of length two or more
en: ‘acf’ must be of length two or more

en: 'all.knots' is TRUE; 'nknots' specification is disregarded
en: ‘all.knots’ is TRUE; ‘nknots’ specification is disregarded

en: 'all.knots' is vector of knots; 'nknots' specification is disregarded
en: ‘all.knots’ is vector of knots; ‘nknots’ specification is disregarded

en: 'alpha', 'beta' and 'gamma' must be within the unit interval
en: ‘alpha’, ‘beta’ and ‘gamma’ must be within the unit interval

en: 'anova' is only defined for sequences of "nls" objects
en: ‘anova’ is only defined for sequences of "nls" objects

en: 'anova' object must have colnames
en: ‘anova’ object must have colnames

en: 'approx' requires n >= 1
en: ‘approx’ requires n >= 1

en: 'ar' part of model is not stationary
en: ‘ar’ part of model is not stationary

en: 'bw' is not positive.
en: ‘bw’ is not positive.

en: 'by' must be a list
en: ‘by’ must be a list

en: 'centers' must be a number or a matrix
en: ‘centers’ must be a number or a matrix

en: 'circular' must be logical and not NA
en: ‘circular’ must be logical and not NA

en: 'coef' does not have the correct length
en: ‘coef’ does not have the correct length

en: 'coef' must be a vector
en: ‘coef’ must be a vector

en: 'coef' must define a contrast, i.e., sum to 0
en: ‘coef’ must define a contrast, i.e., sum to 0

en: 'coef' must have same length as 'contrast.obj'
en: ‘coef’ must have same length as ‘contrast.obj’

en: 'col.vars' missing or incorrect
en: ‘col.vars’ missing or incorrect

en: 'conf.level' is not a probability
en: ‘conf.level’ is not a probability

en: 'conf.level' must be a single number between 0 and 1
en: ‘conf.level’ must be a single number between 0 and 1

en: 'contrasts.arg' argument must be named
en: ‘contrasts.arg’ argument must be named

en: 'control' argument must be a named list
en: ‘control’ argument must be a named list

en: 'covmat' is not a valid covariance list
en: ‘covmat’ is not a valid covariance list

en: 'covmat' is of unknown type
en: ‘covmat’ is of unknown type

en: 'cterms' argument must match terms in model object
en: ‘cterms’ argument must match terms in model object

en: 'cutpoints' must be unique in 0 < cuts < 1, but are =
en: ‘cutpoints’ must be unique in 0 < cuts < 1, but are =

en: 'cutpoints' must be unique, but are =
en: ‘cutpoints’ must be unique, but are =

en: 'cv' must not be NA when 'df' is specified
en: ‘cv’ must not be NA when ‘df’ is specified

en: 'data' must be a data.frame, environment, or list
en: ‘data’ must be a data.frame, environment, or list

en: 'data' must be a data.frame, not a matrix or an array
en: ‘data’ must be a data.frame, not a matrix or an array

en: 'data' must be a list or an environment
en: ‘data’ must be a list or an environment

en: 'degree' must be 0, 1 or 2
en: ‘degree’ must be 0, 1 or 2

en: 'degree' must be at least 1
en: ‘degree’ must be at least 1

en: 'degree' must be less than number of unique points
en: ‘degree’ must be less than number of unique points

en: 'deriv' must be between 0 and 3
en: ‘deriv’ must be between 0 and 3

en: 'end' must be a whole number of cycles after 'start'
en: ‘end’ must be a whole number of cycles after ‘start’

en: 'end' value not changed
en: ‘end’ value not changed

en: 'family' argument seems not to be a valid family object
en: ‘family’ argument seems not to be a valid family object

en: 'family' not recognized
en: ‘family’ not recognized

en: 'file' must be a character string or connection
en: ‘file’ must be a character string or connection

en: 'filter' is longer than time series
en: ‘filter’ is longer than time series

en: 'formula' has '.' in both left and right hand sides
en: ‘formula’ has ‘.’ in both left and right hand sides

en: 'formula' missing
en: ‘formula’ missing

en: 'formula' missing or incorrect
en: ‘formula’ missing or incorrect

en: 'formula' missing or invalid
en: ‘formula’ missing or invalid

en: 'formula' must have both left and right hand sides
en: ‘formula’ must have both left and right hand sides

en: 'formula' should be of the form response ~ group
en: ‘formula’ should be of the form response ~ group

en: 'frequency' and 'deltat' are both not NULL and are inconsistent
en: ‘frequency’ and ‘deltat’ are both not NULL and are inconsistent

en: 'frequency' not changed
en: ‘frequency’ not changed

en: 'height' must be at least %g, the maximal height of its components
en: ‘height’ must be at least %g, the maximal height of its components

en: 'hybrid' is ignored for a 2 x 2 table
en: ‘hybrid’ is ignored for a 2 x 2 table

en: 'id.n' must be in {1,..,%d}
en: ‘id.n’ must be in {1,..,%d}

en: 'idvar' must uniquely identify records
en: ‘idvar’ must uniquely identify records

en: 'init' is of the wrong length
en: ‘init’ is of the wrong length

en: 'init' must have %d column | 'init' must have 1 or %d columns
en[0]: ‘init’ must have %d column
en[1]: ‘init’ must have 1 or %d columns

en: 'interval' must be a vector of length 2
en: ‘interval’ must be a vector of length 2

en: 'iter.max' must be positive
en: ‘iter.max’ must be positive

en: 'k' and 'h' must be a scalar
en: ‘k’ and ‘h’ must be a scalar

en: 'k' is bigger than 'n'!  Changing 'k' to %d
en: ‘k’ is bigger than ‘n’!  Changing ‘k’ to %d

en: 'k' is not a kernel
en: ‘k’ is not a kernel

en: 'k' is not an integer
en: ‘k’ is not an integer

en: 'k' must be in {1, 2, ..  n - 1}
en: ‘k’ must be in {1, 2, ..  n - 1}

en: 'k' must be odd!  Changing 'k' to %d
en: ‘k’ must be odd!  Changing ‘k’ to %d

en: 'k' must be positive
en: ‘k’ must be positive

en: 'kernapply' is not available for object 'x'
en: ‘kernapply’ is not available for object ‘x’

en: 'lag.max' must be at least 0
en: ‘lag.max’ must be at least 0

en: 'lag.max' must be at least 1
en: ‘lag.max’ must be at least 1

en: 'lengths(varying)' must all match 'length(times)'
en: ‘lengths(varying)’ must all match ‘length(times)’

en: 'logLik.lm' does not support multiple responses
en: ‘logLik.lm’ does not support multiple responses

en: 'low' and 'high' cannot be both TRUE
en: ‘low’ and ‘high’ cannot be both TRUE

en: 'lower' and 'upper' must be finite values
en: ‘lower’ and ‘upper’ must be finite values

en: 'm' is less than 1
en: ‘m’ is less than 1

en: 'm' must be numeric with non-negative integers
en: ‘m’ must be numeric with non-negative integers

en: 'main' must be TRUE, FALSE, NULL or character (vector).
en: ‘main’ must be TRUE, FALSE, NULL or character (vector).

en: 'margin' must contain names or numbers corresponding to 'table'
en: ‘margin’ must contain names or numbers corresponding to ‘table’

en: 'margins' must be a numeric vector of length 2
en: ‘margins’ must be a numeric vector of length 2

en: 'mlm' objects with weights are not supported
en: ‘mlm’ objects with weights are not supported

en: 'model$order' must be of length 3
en: ‘model$order’ must be of length 3

en: 'model' must be list
en: ‘model’ must be list

en: 'model.tables' is not implemented for multiple responses
en: ‘model.tables’ is not implemented for multiple responses

en: 'mu' must be a single number
en: ‘mu’ must be a single number

en: 'mult' must be integer >= 2, typically = 30
en: ‘mult’ must be integer >= 2, typically = 30

en: 'n' must be a positive integer >= 'x'
en: ‘n’ must be a positive integer >= ‘x’

en: 'n' must be strictly positive
en: ‘n’ must be strictly positive

en: 'n.ahead' must be at least 1
en: ‘n.ahead’ must be at least 1

en: 'newdata' does not have named columns matching one or more of the original columns
en: ‘newdata’ does not have named columns matching one or more of the original columns

en: 'newdata' does not have the correct number of columns
en: ‘newdata’ does not have the correct number of columns

en: 'newdata' had %d row | 'newdata' had %d rows
en[0]: ‘newdata’ had %d row
en[1]: ‘newdata’ had %d rows

en: 'newdata' must be a matrix or data frame
en: ‘newdata’ must be a matrix or data frame

en: 'nknots' must be at least 1
en: ‘nknots’ must be at least 1

en: 'nknots' must be numeric (in {1,..,n})
en: ‘nknots’ must be numeric (in {1,..,n})

en: 'nterms' is missing with no default
en: ‘nterms’ is missing with no default

en: 'object' does not include an error 'qr' component
en: ‘object’ does not include an error ‘qr’ component

en: 'object' has no 'effects' component
en: ‘object’ has no ‘effects’ component

en: 'offset' must be numeric
en: ‘offset’ must be numeric

en: 'or' must be a single number between 0 and Inf
en: ‘or’ must be a single number between 0 and Inf

en: 'order' must be a non-negative numeric vector of length 3
en: ‘order’ must be a non-negative numeric vector of length 3

en: 'order.dendrogram' requires a dendrogram
en: ‘order.dendrogram’ requires a dendrogram

en: 'order.max' must be < 'n.obs'
en: ‘order.max’ must be < ‘n.obs’

en: 'order.max' must be < 'n.used'
en: ‘order.max’ must be < ‘n.used’

en: 'order.max' must be >= 0
en: ‘order.max’ must be >= 0

en: 'order.max' must be >= 1
en: ‘order.max’ must be >= 1

en: 'p' must be a single number between 0 and 1
en: ‘p’ must be a single number between 0 and 1

en: 'p' must be between 0 and 0.5
en: ‘p’ must be between 0 and 0.5

en: 'p' must have the same length as 'x' and 'n'
en: ‘p’ must have the same length as ‘x’ and ‘n’

en: 'params' has wrong length
en: ‘params’ has wrong length

en: 'plot.stepfun' called with wrong type of argument 'x'
en: ‘plot.stepfun’ called with wrong type of argument ‘x’

en: 'ppr' applies only to numerical variables
en: ‘ppr’ applies only to numerical variables

en: 'princomp' can only be used with more units than variables
en: ‘princomp’ can only be used with more units than variables

en: 'print.level' must be in {0,1,2}
en: ‘print.level’ must be in {0,1,2}

en: 'prob' and 'mu' both specified
en: ‘prob’ and ‘mu’ both specified

en: 'probs' outside [0,1]
en: ‘probs’ outside [0,1]

en: 'proj' is not implemented for multiple responses
en: ‘proj’ is not implemented for multiple responses

en: 'r' is less than 0
en: ‘r’ is less than 0

en: 'r' is less than 1
en: ‘r’ is less than 1

en: 'r' must be a single positive number
en: ‘r’ must be a single positive number

en: 'ratio' must be a single positive number
en: ‘ratio’ must be a single positive number

en: 'ref' must be an existing level
en: ‘ref’ must be an existing level

en: 'ref' must be of length one
en: ‘ref’ must be of length one

en: 'relevel' only for (unordered) factors
en: ‘relevel’ only for (unordered) factors

en: 'relevel' only for unordered factors
en: ‘relevel’ only for unordered factors

en: 'reorder.dendrogram' requires a dendrogram
en: ‘reorder.dendrogram’ requires a dendrogram

en: 'row.var.names' missing
en: ‘row.var.names’ missing

en: 'sampleT' and 'nser' must be integer
en: ‘sampleT’ and ‘nser’ must be integer

en: 'scale' is outside [0, 1]
en: ‘scale’ is outside [0, 1]

en: 'scores' argument is of the wrong length
en: ‘scores’ argument is of the wrong length

en: 'scores' must all be different numbers
en: ‘scores’ must all be different numbers

en: 'se.fit' not yet implemented for multivariate models
en: ‘se.fit’ not yet implemented for multivariate models

en: 'seasonal$order' must be a non-negative numeric vector of length 3
en: ‘seasonal$order’ must be a non-negative numeric vector of length 3

en: 'seasonal' must be a list with component 'order'
en: ‘seasonal’ must be a list with component ‘order’

en: 'span' must be between 0 and 1.
en: ‘span’ must be between 0 and 1.

en: 'spar' must be of length 1
en: ‘spar’ must be of length 1

en: 'spline' requires n >= 1
en: ‘spline’ requires n >= 1

en: 'start' > 'end'
en: ‘start’ > ‘end’

en: 'start' and 'table' must be same length
en: ‘start’ and ‘table’ must be same length

en: 'start' cannot be after 'end'
en: ‘start’ cannot be after ‘end’

en: 'start' must have %d row | 'start' must have %d rows
en[0]: ‘start’ must have %d row
en[1]: ‘start’ must have %d rows

en: 'start' value not changed
en: ‘start’ value not changed

en: 'start.innov' is too short: need %d point | 'start.innov' is too short: need %d points
en[0]: ‘start.innov’ is too short: need %d point
en[1]: ‘start.innov’ is too short: need %d points

en: 'termlabels' must be a character vector of length at least one
en: ‘termlabels’ must be a character vector of length at least one

en: 'termobj' must be a object of class %s
en: ‘termobj’ must be a object of class %s

en: 'ties' is not "ordered", a function, or list(<string>, <function>)
en: ‘ties’ is not "ordered", a function, or list(<string>, <function>)

en: 'tol' must be strictly positive and finite
en: ‘tol’ must be strictly positive and finite

en: 'trace != 0' needs 'REPORT >= 1'
en: ‘trace != 0’ needs ‘REPORT >= 1’

en: 'ts' object must have one or more observations
en: ‘ts’ object must have one or more observations

en: 'type' must be 1 or 3 for ordered factors
en: ‘type’ must be 1 or 3 for ordered factors

en: 'variance' "%s" is invalid: possible values are "mu(1-mu)", "mu", "mu^2", "mu^3" and "constant"
en: ‘variance’ "%s" is invalid: possible values are "mu(1-mu)", "mu", "mu^2", "mu^3" and "constant"

en: 'varying' arguments must be the same length
en: ‘varying’ arguments must be the same length

en: 'varying' has wrong length
en: ‘varying’ has wrong length

en: 'varying' must be in seq_along(pars)
en: ‘varying’ must be in seq_along(pars)

en: 'varying' must be logical, integer or character
en: ‘varying’ must be logical, integer or character

en: 'varying' must be nonempty list or vector
en: ‘varying’ must be nonempty list or vector

en: 'weights' as formula should be one-sided
en: ‘weights’ as formula should be one-sided

en: 'weights' must all be finite
en: ‘weights’ must all be finite

en: 'weights' must be a numeric vector
en: ‘weights’ must be a numeric vector

en: 'weights' must not be negative
en: ‘weights’ must not be negative

en: 'which' must be in 1:6
en: ‘which’ must be in 1:6

en: 'which' specified no factors
en: ‘which’ specified no factors

en: 'which' specified some non-factors which will be dropped
en: ‘which’ specified some non-factors which will be dropped

en: 'x' and 'T' have incompatible length
en: ‘x’ and ‘T’ have incompatible length

en: 'x' and 'g' must have the same length
en: ‘x’ and ‘g’ must have the same length

en: 'x' and 'n' must have the same length
en: ‘x’ and ‘n’ must have the same length

en: 'x' and 'p' must have the same number of elements
en: ‘x’ and ‘p’ must have the same number of elements

en: 'x' and 'w' must have the same length
en: ‘x’ and ‘w’ must have the same length

en: 'x' and 'weights' have unequal length
en: ‘x’ and ‘weights’ have unequal length

en: 'x' and 'y' must have at least 2 levels
en: ‘x’ and ‘y’ must have at least 2 levels

en: 'x' and 'y' must have the same length
en: ‘x’ and ‘y’ must have the same length

en: 'x' and 'y' must have the same number of levels (minimum 2)
en: ‘x’ and ‘y’ must have the same number of levels (minimum 2)

en: 'x' contains missing values
en: ‘x’ contains missing values

en: 'x' has been rounded to integer: %s
en: ‘x’ has been rounded to integer: %s

en: 'x' has entries too large to be integer
en: ‘x’ has entries too large to be integer

en: 'x' has rank 0
en: ‘x’ has rank 0

en: 'x' is a list, so ignoring argument 'g'
en: ‘x’ is a list, so ignoring argument ‘g’

en: 'x' is empty
en: ‘x’ is empty

en: 'x' is not a kernel
en: ‘x’ is not a kernel

en: 'x' is not a vector
en: ‘x’ is not a vector

en: 'x' is not a vector or matrix
en: ‘x’ is not a vector or matrix

en: 'x' is shorter than kernel 'k'
en: ‘x’ is shorter than kernel ‘k’

en: 'x' must at least have 2 elements
en: ‘x’ must at least have 2 elements

en: 'x' must be *strictly* increasing (non - NA)
en: ‘x’ must be *strictly* increasing (non - NA)

en: 'x' must be a 3-dimensional array
en: ‘x’ must be a 3-dimensional array

en: 'x' must be a list with at least 2 elements
en: ‘x’ must be a list with at least 2 elements

en: 'x' must be a matrix
en: ‘x’ must be a matrix

en: 'x' must be a matrix or a data frame
en: ‘x’ must be a matrix or a data frame

en: 'x' must be a numeric matrix
en: ‘x’ must be a numeric matrix

en: 'x' must be a numeric vector
en: ‘x’ must be a numeric vector

en: 'x' must be a time series or an ar() fit
en: ‘x’ must be a time series or an ar() fit

en: 'x' must be an "ftable" object
en: ‘x’ must be an "ftable" object

en: 'x' must be between %s and %s
en: ‘x’ must be between %s and %s

en: 'x' must be between -1 and 1
en: ‘x’ must be between -1 and 1

en: 'x' must be between 0 and 1 for periodic smooth
en: ‘x’ must be between 0 and 1 for periodic smooth

en: 'x' must be coefficient matrix/data frame
en: ‘x’ must be coefficient matrix/data frame

en: 'x' must be finite, nonnegative, and integer
en: ‘x’ must be finite, nonnegative, and integer

en: 'x' must be non-negative
en: ‘x’ must be non-negative

en: 'x' must be nonnegative and integer
en: ‘x’ must be nonnegative and integer

en: 'x' must be numeric
en: ‘x’ must be numeric

en: 'x' must be square with at least two rows and columns
en: ‘x’ must be square with at least two rows and columns

en: 'x' must contain finite values only
en: ‘x’ must contain finite values only

en: 'x' must have 1 or more non-missing values
en: ‘x’ must have 1 or more non-missing values

en: 'x' must have 2 columns
en: ‘x’ must have 2 columns

en: 'x' must have at least 2 rows and 2 columns
en: ‘x’ must have at least 2 rows and 2 columns

en: 'x' must have at least 2 rows and columns
en: ‘x’ must have at least 2 rows and columns

en: 'x' must have length >= 1
en: ‘x’ must have length >= 1

en: 'x', 'y', and 'z' must have the same length
en: ‘x’, ‘y’, and ‘z’ must have the same length

en: 'xi' does not have the right length
en: ‘xi’ does not have the right length

en: 'xreg' and 'newxreg' have different numbers of columns
en: ‘xreg’ and ‘newxreg’ have different numbers of columns

en: 'xreg' is collinear
en: ‘xreg’ is collinear

en: 'xy.labels' must be logical or character
en: ‘xy.labels’ must be logical or character

en: 'y' has rank 0
en: ‘y’ has rank 0

en: 'y' is missing for paired test
en: ‘y’ is missing for paired test

en: 'y' must be a numeric vector
en: ‘y’ must be a numeric vector

en: 'y' must be increasing or decreasing
en: ‘y’ must be increasing or decreasing

en: 'y' must be numeric
en: ‘y’ must be numeric

en: 'y' must be numeric or a function or a string naming a valid function
en: ‘y’ must be numeric or a function or a string naming a valid function

en: 'y' must be numeric vector
en: ‘y’ must be numeric vector

en: 'y' must be one longer than 'x'
en: ‘y’ must be one longer than ‘x’

en: 'y', 'groups' and 'blocks' must have the same length
en: ‘y’, ‘groups’ and ‘blocks’ must have the same length

en: AIC is -infinity for this model, so 'step' cannot proceed
en: AIC is -infinity for this model, so ‘step’ cannot proceed

en: AIC is not defined for this model, so 'step' cannot proceed
en: AIC is not defined for this model, so ‘step’ cannot proceed

en: F test assumes 'quasi%s' family
en: F test assumes ‘quasi%s’ family

en: NA lev[]; probably smoothing parameter 'spar' way too large!
en: NA lev[]; probably smoothing parameter ‘spar’ way too large!

en: NA values not allowed in 'd'
en: NA values not allowed in ‘d’

en: NA's are not allowed in 'groups' or 'blocks'
en: NA's are not allowed in ‘groups’ or ‘blocks’

en: NAs in '%s'
en: NAs in ‘%s’

en: NAs in 'x'
en: NAs in ‘x’

en: NAs in 'x' must be the same row-wise
en: NAs in ‘x’ must be the same row-wise

en: NAs present: setting 'delta' to -1
en: NAs present: setting ‘delta’ to -1

en: Numeric 'all.knots' must be strictly increasing
en: Numeric ‘all.knots’ must be strictly increasing

en: SEs for type '%s' are not yet implemented
en: SEs for type ‘%s’ are not yet implemented

en: Selecting bandwidth *not* using 'weights'
en: Selecting bandwidth *not* using ‘weights’

en: Standard error information not returned as design is unbalanced. 
    Standard errors can be obtained through 'se.contrast'.
en: Standard error information not returned as design is unbalanced. 
    Standard errors can be obtained through ‘se.contrast’.

en: Unparseable 'response' "%s"; use is deprecated.  Use as.name(.) or `..`!
en: Unparseable ‘response’ "%s"; use is deprecated.  Use as.name(.) or `..`!

en: all 'x' values are identical
en: all ‘x’ values are identical

en: all 'x' values must be non-negative to fit the Weibull growth model
en: all ‘x’ values must be non-negative to fit the Weibull growth model

en: all elements of 'which' must be between 1 and %d
en: all elements of ‘which’ must be between 1 and %d

en: all entries of 'x' must be nonnegative and finite
en: all entries of ‘x’ must be nonnegative and finite

en: argument 'na.action' will be ignored
en: argument ‘na.action’ will be ignored

en: argument 'object' has an impossible length
en: argument ‘object’ has an impossible length

en: argument 'p' must be numeric
en: argument ‘p’ must be numeric

en: argument 'q' must be numeric
en: argument ‘q’ must be numeric

en: argument 'sides' must be 1 or 2
en: argument ‘sides’ must be 1 or 2

en: argument 'sizes' must be a vector of length 2
en: argument ‘sizes’ must be a vector of length 2

en: argument 'subset' will be ignored
en: argument ‘subset’ will be ignored

en: argument 'x' cannot be coerced to class %s
en: argument ‘x’ cannot be coerced to class %s

en: argument 'x' is  missing -- it has been renamed from 'formula'
en: argument ‘x’ is  missing -- it has been renamed from ‘formula’

en: argument 'x' must be a formula
en: argument ‘x’ must be a formula

en: argument 'x' must be numeric
en: argument ‘x’ must be numeric

en: argument does not include a 'qr' component
en: argument does not include a ‘qr’ component

en: argument does not include an 'effects' component
en: argument does not include an ‘effects’ component

en: arguments 'r' and 'c' must have the same sums
en: arguments ‘r’ and ‘c’ must have the same sums

en: at least one entry of 'x' must be positive
en: at least one entry of ‘x’ must be positive

en: bad value for 'end'
en: bad value for ‘end’

en: bad value for 'lag' or 'differences'
en: bad value for ‘lag’ or ‘differences’

en: bad value for 'start'
en: bad value for ‘start’

en: bandwidth 'k' must be >= 1 and odd!
en: bandwidth ‘k’ must be >= 1 and odd!

en: both 'span' and 'enp.target' specified: 'span' will be used
en: both ‘span’ and ‘enp.target’ specified: ‘span’ will be used

en: both 'x' and 'covmat' were supplied: 'x' will be ignored
en: both ‘x’ and ‘covmat’ were supplied: ‘x’ will be ignored

en: both 'x' and 'y' must be non-empty
en: both ‘x’ and ‘y’ must be non-empty

en: burn-in 'n.start' must be as long as 'ar + ma'
en: burn-in ‘n.start’ must be as long as ‘ar + ma’

en: cannot fit models without level ('alpha' must not be 0 or FALSE)
en: cannot fit models without level (‘alpha’ must not be 0 or FALSE)

en: cannot handle 'pairwise.complete.obs'
en: cannot handle ‘pairwise.complete.obs’

en: cannot use 'cor = TRUE' with a constant variable
en: cannot use ‘cor = TRUE’ with a constant variable

en: cannot use 'paired' in formula method
en: cannot use ‘paired’ in formula method

en: cannot use more inner knots than unique 'x' values
en: cannot use more inner knots than unique ‘x’ values

en: collapsing to unique 'x' values
en: collapsing to unique ‘x’ values

en: columns of 'contrast.obj' must define a contrast (sum to zero)
en: columns of ‘contrast.obj’ must define a contrast (sum to zero)

en: columns of 'contrast.obj' must define a contrast(sum to zero)
en: columns of ‘contrast.obj’ must define a contrast(sum to zero)

en: cross-validation with non-unique 'x' values seems doubtful
en: cross-validation with non-unique ‘x’ values seems doubtful

en: dimension 0 in 'x' or 'y'
en: dimension 0 in ‘x’ or ‘y’

en: distances must be result of 'dist' or a square matrix
en: distances must be result of ‘dist’ or a square matrix

en: each element of '%s' must be logical
en: each element of ‘%s’ must be logical

en: either 'k' or 'h' must be specified
en: either ‘k’ or ‘h’ must be specified

en: elements of 'k' must be between 1 and %d
en: elements of ‘k’ must be between 1 and %d

en: elements of 'n' must be positive
en: elements of ‘n’ must be positive

en: elements of 'p' must be in (0,1)
en: elements of ‘p’ must be in (0,1)

en: elements of 'x' must be nonnegative
en: elements of ‘x’ must be nonnegative

en: elements of 'x' must not be greater than those of 'n'
en: elements of ‘x’ must not be greater than those of ‘n’

en: exactly one of 'groups', 'n', 'between.var', 'within.var', 'power', and 'sig.level' must be NULL
en: exactly one of ‘groups’, ‘n’, ‘between.var’, ‘within.var’, ‘power’, and ‘sig.level’ must be NULL

en: exactly one of 'n', 'delta', 'sd', 'power', and 'sig.level' must be NULL
en: exactly one of ‘n’, ‘delta’, ‘sd’, ‘power’, and ‘sig.level’ must be NULL

en: exactly one of 'n', 'p1', 'p2', 'power', and 'sig.level' must be NULL
en: exactly one of ‘n’, ‘p1’, ‘p2’, ‘power’, and ‘sig.level’ must be NULL

en: family '%s' not implemented
en: family ‘%s’ not implemented

en: fitting to calculate the null deviance did not converge -- increase 'maxit'?
en: fitting to calculate the null deviance did not converge -- increase ‘maxit’?

en: for the '%s' family, y must be a vector of 0 and 1's
    or a 2 column matrix where col 1 is no. successes and col 2 is no. failures
en: for the ‘%s’ family, y must be a vector of 0 and 1's
    or a 2 column matrix where col 1 is no. successes and col 2 is no. failures

en: formula '%s' must be of the form '~expr'
en: formula ‘%s’ must be of the form ‘~expr’

en: formula 'x' must have both left and right hand sides
en: formula ‘x’ must have both left and right hand sides

en: if 'x' is not a matrix, 'y' must be given
en: if ‘x’ is not a matrix, ‘y’ must be given

en: if 'x' is not an array, 'y' must be given
en: if ‘x’ is not an array, ‘y’ must be given

en: if 'x' is not an array, 'z' must be given
en: if ‘x’ is not an array, ‘z’ must be given

en: inconsistent specification of 'ar' order
en: inconsistent specification of ‘ar’ order

en: inconsistent specification of 'ma' order
en: inconsistent specification of ‘ma’ order

en: incorrect dimensions for 'xi'
en: incorrect dimensions for ‘xi’

en: incorrect length of 'x'
en: incorrect length of ‘x’

en: incorrect specification for 'col.vars'
en: incorrect specification for ‘col.vars’

en: incorrect specification for 'formula'
en: incorrect specification for ‘formula’

en: incorrect specification for 'row.vars'
en: incorrect specification for ‘row.vars’

en: invalid  'attr(rhs, "gradient")'
en: invalid  ‘attr(rhs, "gradient")’

en: invalid 'SSinit'
en: invalid ‘SSinit’

en: invalid 'abbr.colnames'
en: invalid ‘abbr.colnames’

en: invalid 'control' argument
en: invalid ‘control’ argument

en: invalid 'control.spar'
en: invalid ‘control.spar’

en: invalid 'data' argument
en: invalid ‘data’ argument

en: invalid 'endrule' argument
en: invalid ‘endrule’ argument

en: invalid 'extendInt'; please report
en: invalid ‘extendInt’; please report

en: invalid 'keep.stuff'
en: invalid ‘keep.stuff’

en: invalid 'lm' object:  no 'terms' component
en: invalid ‘lm’ object:  no ‘terms’ component

en: invalid 'method' argument
en: invalid ‘method’ argument

en: invalid 'nb'
en: invalid ‘nb’

en: invalid 'tree' ('merge' component)
en: invalid ‘tree’ (‘merge’ component)

en: invalid 'use' argument
en: invalid ‘use’ argument

en: invalid 'x'
en: invalid ‘x’

en: invalid 'y'
en: invalid ‘y’

en: invalid argument 'c'
en: invalid argument ‘c’

en: invalid argument 'cell'
en: invalid argument ‘cell’

en: invalid argument 'degree'
en: invalid argument ‘degree’

en: invalid argument 'lambda'
en: invalid argument ‘lambda’

en: invalid argument 'n'
en: invalid argument ‘n’

en: invalid argument 'omit'
en: invalid argument ‘omit’

en: invalid argument 'r'
en: invalid argument ‘r’

en: invalid argument 'span'
en: invalid argument ‘span’

en: invalid argument to 'getProfile'
en: invalid argument to ‘getProfile’

en: length of 'center' must equal the number of columns in 'x'
en: length of ‘center’ must equal the number of columns in ‘x’

en: length of 'init' must equal length of 'filter'
en: length of ‘init’ must equal length of ‘filter’

en: length of 'p' must be 1 or equal the number of columns of 'x'
en: length of ‘p’ must be 1 or equal the number of columns of ‘x’

en: length of 'start' should equal %d and correspond to initial coefs for %s
en: length of ‘start’ should equal %d and correspond to initial coefs for %s

en: length of 'v.names' does not evenly divide length of 'varying'
en: length of ‘v.names’ does not evenly divide length of ‘varying’

en: length of 'varying' must be the product of length of 'v.names' and length of 'times'
en: length of ‘varying’ must be the product of length of ‘v.names’ and length of ‘times’

en: length of 'wt' must equal the number of rows in 'x'
en: length of ‘wt’ must equal the number of rows in ‘x’

en: lengths of 'x' and 'w' must match
en: lengths of ‘x’ and ‘w’ must match

en: lengths of 'x' and 'xreg' do not match
en: lengths of ‘x’ and ‘xreg’ do not match

en: lm object does not have a proper 'qr' component.
     Rank zero or should not have used lm(.., qr=FALSE).
en: lm object does not have a proper ‘qr’ component.
     Rank zero or should not have used lm(.., qr=FALSE).

en: logical 'hessian' argument not allowed.  See documentation.
en: logical ‘hessian’ argument not allowed.  See documentation.

en: method = '%s' is not supported. Using 'qr'
en: method = ‘%s’ is not supported. Using ‘qr’

en: method L-BFGS-B uses 'factr' (and 'pgtol') instead of 'reltol' and 'abstol'
en: method L-BFGS-B uses ‘factr’ (and ‘pgtol’) instead of ‘reltol’ and ‘abstol’

en: mismatched 'x' and 'y'
en: mismatched ‘x’ and ‘y’

en: missing values and NaN's not allowed if 'na.rm' is FALSE
en: missing values and NaN's not allowed if ‘na.rm’ is FALSE

en: missing values are not allowed in 'poly'
en: missing values are not allowed in ‘poly’

en: missing values in 'filter'
en: missing values in ‘filter’

en: must have 2 'symbols' for logical 'x' argument
en: must have 2 ‘symbols’ for logical ‘x’ argument

en: must have at least 4 observations to fit an 'SSfol' model
en: must have at least 4 observations to fit an ‘SSfol’ model

en: must have length of response = length of second argument to 'SSfol'
en: must have length of response = length of second argument to ‘SSfol’

en: must have same number of columns in 'x' and 'centers'
en: must have same number of columns in ‘x’ and ‘centers’

en: must not specify both 'spar' and 'lambda'
en: must not specify both ‘spar’ and ‘lambda’

en: must specify 'spans' or a valid kernel
en: must specify ‘spans’ or a valid kernel

en: must supply 'formula' or 'data'
en: must supply ‘formula’ or ‘data’

en: need CRAN package 'SuppDists' for simulation from the 'inverse.gaussian' family
en: need CRAN package ‘SuppDists’ for simulation from the ‘inverse.gaussian’ family

en: need at least four unique 'x' values
en: need at least four unique ‘x’ values

en: negative values not allowed for the 'Poisson' family
en: negative values not allowed for the ‘Poisson’ family

en: negative values not allowed for the 'quasiPoisson' family
en: negative values not allowed for the ‘quasiPoisson’ family

en: neither 'x' nor 'covmat' supplied
en: neither ‘x’ nor ‘covmat’ supplied

en: no 'add1' method implemented for "mlm" models
en: no ‘add1’ method implemented for "mlm" models

en: no 'as.stepfun' method available for 'x'
en: no ‘as.stepfun’ method available for ‘x’

en: no 'drop1' method for "mlm" models
en: no ‘drop1’ method for "mlm" models

en: no 'getInitial' method found for "%s" objects
en: no ‘getInitial’ method found for "%s" objects

en: no 'nobs' method is available
en: no ‘nobs’ method is available

en: no 'reshapeWide' attribute, must specify 'varying'
en: no ‘reshapeWide’ attribute, must specify ‘varying’

en: no scores are available: refit with 'retx=TRUE'
en: no scores are available: refit with ‘retx=TRUE’

en: non-finite 'bw'
en: non-finite ‘bw’

en: non-finite 'from'
en: non-finite ‘from’

en: non-finite 'to'
en: non-finite ‘to’

en: non-positive values not allowed for the 'Gamma' family
en: non-positive values not allowed for the ‘Gamma’ family

en: not enough 'x' data
en: not enough ‘x’ data

en: not enough 'x' observations
en: not enough ‘x’ observations

en: not enough 'y' data
en: not enough ‘y’ data

en: not enough 'y' observations
en: not enough ‘y’ observations

en: not enough (non-missing) 'x' observations
en: not enough (non-missing) ‘x’ observations

en: number of 'cutpoints' must be one less than number of symbols
en: number of ‘cutpoints’ must be one less than number of symbols

en: number of 'cutpoints' must be one more than number of symbols
en: number of ‘cutpoints’ must be one more than number of symbols

en: number of observations in 'x' and 'y' must match.
en: number of observations in ‘x’ and ‘y’ must match.

en: number of series in 'object' and 'newdata' do not match
en: number of series in ‘object’ and ‘newdata’ do not match

en: numeric 'all.knots' must cover [0,1] (= the transformed data-range)
en: numeric ‘all.knots’ must cover [0,1] (= the transformed data-range)

en: object '%s' has no scores
en: object ‘%s’ has no scores

en: parameters without starting value in 'data': %s
en: parameters without starting value in ‘data’: %s

en: positive values only are allowed for the 'inverse.gaussian' family
en: positive values only are allowed for the ‘inverse.gaussian’ family

en: possible convergence problem: 'optim' gave code = %d and message %s
en: possible convergence problem: ‘optim’ gave code = %d and message %s

en: read the documentation for 'trace' more carefully
en: read the documentation for ‘trace’ more carefully

en: requested scores without an 'x' matrix
en: requested scores without an ‘x’ matrix

en: series is corrupt, with no 'tsp' attribute
en: series is corrupt, with no ‘tsp’ attribute

en: series is corrupt: length %d with 'tsp' implying %d
en: series is corrupt: length %d with ‘tsp’ implying %d

en: setVarying : 'vary' length must match length of parameters
en: setVarying : ‘vary’ length must match length of parameters

en: setting '%s' in terms.formula() is deprecated
en: setting ‘%s’ in terms.formula() is deprecated

en: some elements of 'x' are not numeric and will be coerced to numeric
en: some elements of ‘x’ are not numeric and will be coerced to numeric

en: specify 'rate' or 'scale' but not both
en: specify ‘rate’ or ‘scale’ but not both

en: specify exactly one of 'k' and 'h'
en: specify exactly one of ‘k’ and ‘h’

en: specify exactly one of 'which' and 'x'
en: specify exactly one of ‘which’ and ‘x’

en: stepfun: 'x' must be ordered increasingly
en: stepfun: ‘x’ must be ordered increasingly

en: supply both 'x' and 'y' or a matrix-like 'x'
en: supply both ‘x’ and ‘y’ or a matrix-like ‘x’

en: table 'x' should have 2 entries
en: table ‘x’ should have 2 entries

en: the 'height' component of 'tree' is not sorted (increasingly)
en: the ‘height’ component of ‘tree’ is not sorted (increasingly)

en: the 'se.fit' argument is not yet implemented for "mlm" objects
en: the ‘se.fit’ argument is not yet implemented for "mlm" objects

en: the 'split' argument must be a list
en: the ‘split’ argument must be a list

en: the following arguments to 'anova.glm' are invalid and dropped:
en: the following arguments to ‘anova.glm’ are invalid and dropped:

en: too few distinct input values to fit the 'asympOff' model
en: too few distinct input values to fit the ‘asympOff’ model

en: too few distinct input values to fit the 'asympOrig' model
en: too few distinct input values to fit the ‘asympOrig’ model

en: type '%s' is not implemented yet
en: type ‘%s’ is not implemented yet

en: unequal number of rows in 'cancor'
en: unequal number of rows in ‘cancor’

en: unknown name %s in the 'split' list | unknown names %s in the 'split' list
en[0]: unknown name %s in the ‘split’ list
en[1]: unknown names %s in the ‘split’ list

en: using F test with a '%s' family is inappropriate
en: using F test with a ‘%s’ family is inappropriate

en: value of 'epsilon' must be > 0
en: value of ‘epsilon’ must be > 0

en: variable '%s' is absent, its contrast will be ignored
en: variable ‘%s’ is absent, its contrast will be ignored

en: variable '%s' is not a factor
en: variable ‘%s’ is not a factor

en: variable '%s' was fitted with type "%s" but type "%s" was supplied
en: variable ‘%s’ was fitted with type "%s" but type "%s" was supplied

en: wrong length for 'fixed'
en: wrong length for ‘fixed’

en: wrong number of columns in 'x'
en: wrong number of columns in ‘x’
