data.table 1.13.1 - en to en translation catalogue (221 entries)

en:   'header' changed by user from 'auto' to %s
en:   ‘header’ changed by user from ‘auto’ to %s

en:   'header' determined to be %s because there are%s number fields in the first and only row
en:   ‘header’ determined to be %s because there are%s number fields in the first and only row

en:   'header' determined to be false because there are some number columns and those columns do not have a string field at the top of them
en:   ‘header’ determined to be false because there are some number columns and those columns do not have a string field at the top of them

en:   'header' determined to be true because all columns are type string and a better guess is not possible
en:   ‘header’ determined to be true because all columns are type string and a better guess is not possible

en:   'header' determined to be true due to column %d containing a string on row 1 and a lower type (%s) in the rest of the %d sample rows
en:   ‘header’ determined to be true due to column %d containing a string on row 1 and a lower type (%s) in the rest of the %d sample rows

en:   File ends abruptly with '%c'. Copying file in RAM. %s copy.
en:   File ends abruptly with ‘%c’. Copying file in RAM. %s copy.

en:   File ends abruptly with '%c'. Final end-of-line is missing. Using cow page to write 0 to the last byte.
en:   File ends abruptly with ‘%c’. Final end-of-line is missing. Using cow page to write 0 to the last byte.

en:   Using supplied sep '%s'
en:   Using supplied sep ‘%s’

en:   sep='\n' passed in meaning read lines as single character column
en:   sep=‘\n’ passed in meaning read lines as single character column

en:  use.names='check' (default from v1.12.2) emits this message and proceeds as if use.names=FALSE for  backwards compatibility. See news item 5 in v1.12.2 for options to control this message.
en:  use.names=‘check’ (default from v1.12.2) emits this message and proceeds as if use.names=FALSE for  backwards compatibility. See news item 5 in v1.12.2 for options to control this message.

en: %10d : %-9s '%c'
en: %10d : %-9s ‘%c’

en: %s: %d column(s) and %d window(s), not entering parallel execution here because algo='exact' will compute results in parallel
en: %s: %d column(s) and %d window(s), not entering parallel execution here because algo=‘exact’ will compute results in parallel

en: %s: '%s'
en: %s: ‘%s’

en: %s: '%s'. Failed to open existing file for writing. Do you have write permission to it? Is this Windows and does another process such as Excel have it open?
en: %s: ‘%s’. Failed to open existing file for writing. Do you have write permission to it? Is this Windows and does another process such as Excel have it open?

en: %s: '%s'. Unable to create new file for writing (it does not exist already). Do you have permission to write here, is there space on the disk and does the path exist?
en: %s: ‘%s’. Unable to create new file for writing (it does not exist already). Do you have permission to write here, is there space on the disk and does the path exist?

en: %s: NA (or other non-finite) value(s) are present in input, na.rm was FALSE so in 'exact' implementation NAs were handled already, no need to re-run
en: %s: NA (or other non-finite) value(s) are present in input, na.rm was FALSE so in ‘exact’ implementation NAs were handled already, no need to re-run

en: 'check_dups' argument must be TRUE or FALSE
en: ‘check_dups’ argument must be TRUE or FALSE

en: 'env' should be an environment
en: ‘env’ should be an environment

en: 'id.vars' is missing. Assigning all columns other than 'measure.vars' columns as 'id.vars'.
en: ‘id.vars’ is missing. Assigning all columns other than ‘measure.vars’ columns as ‘id.vars’.

en: 'integer64' must be a single character string
en: ‘integer64’ must be a single character string

en: 'measure.vars' [%s] are not all of the same type. By order of hierarchy, the molten data value column will be of type '%s'. All measure variables not of type '%s' will be coerced too. Check DETAILS in ?melt.data.table for more on coercion.
en: ‘measure.vars’ [%s] are not all of the same type. By order of hierarchy, the molten data value column will be of type ‘%s’. All measure variables not of type ‘%s’ will be coerced too. Check DETAILS in ?melt.data.table for more on coercion.

en: 'measure.vars' is missing. Assigning all columns other than 'id.vars' columns as 'measure.vars'.
en: ‘measure.vars’ is missing. Assigning all columns other than ‘id.vars’ columns as ‘measure.vars’.

en: 'n' must be a positive integer
en: ‘n’ must be a positive integer

en: 'new' is length %d. Should be the same as length of 'which' (%d)
en: ‘new’ is length %d. Should be the same as length of ‘which’ (%d)

en: 'new' must be a character vector
en: ‘new’ must be a character vector

en: 'throttle' must be a single number, non-NA, and >=1
en: ‘throttle’ must be a single number, non-NA, and >=1

en: 'variable.name' must be a character/integer vector of length=1.
en: ‘variable.name’ must be a character/integer vector of length=1.

en: 'verbose' must be TRUE or FALSE
en: ‘verbose’ must be TRUE or FALSE

en: 'which' must be an integer vector
en: ‘which’ must be an integer vector

en: 'x' argument data.table has no names
en: ‘x’ argument data.table has no names

en: 'x' argument is atomic vector, in-place update is supported only for list/data.table
en: ‘x’ argument is atomic vector, in-place update is supported only for list/data.table

en: 'x' argument must be data.table compatible
en: ‘x’ argument must be data.table compatible

en: 'x' argument must be numeric type, or list/data.table of numeric types
en: ‘x’ argument must be numeric type, or list/data.table of numeric types

en: 'x' must be an integer
en: ‘x’ must be an integer

en: 'yes' and 'na' are both type factor but their levels are different.
en: ‘yes’ and ‘na’ are both type factor but their levels are different.

en: 'yes' and 'no' are both type factor but their levels are different.
en: ‘yes’ and ‘no’ are both type factor but their levels are different.

en: 'yes' has different class than 'na'. Please make sure that both arguments have the same class.
en: ‘yes’ has different class than ‘na’. Please make sure that both arguments have the same class.

en: 'yes' has different class than 'no'. Please make sure that both arguments have the same class.
en: ‘yes’ has different class than ‘no’. Please make sure that both arguments have the same class.

en: 'yes' is of type %s but 'na' is of type %s. Please make sure that both arguments have the same type.
en: ‘yes’ is of type %s but ‘na’ is of type %s. Please make sure that both arguments have the same type.

en: 'yes' is of type %s but 'no' is of type %s. Please make sure that both arguments have the same type.
en: ‘yes’ is of type %s but ‘no’ is of type %s. Please make sure that both arguments have the same type.

en: Argument 'na.rm' should be logical TRUE/FALSE.
en: Argument ‘na.rm’ should be logical TRUE/FALSE.

en: Argument 'test' must be logical.
en: Argument ‘test’ must be logical.

en: Argument 'value.factor' should be logical TRUE/FALSE
en: Argument ‘value.factor’ should be logical TRUE/FALSE

en: Argument 'value.name' must be a character vector
en: Argument ‘value.name’ must be a character vector

en: Argument 'variable.factor' should be logical TRUE/FALSE
en: Argument ‘variable.factor’ should be logical TRUE/FALSE

en: Argument 'variable.name' must be a character vector
en: Argument ‘variable.name’ must be a character vector

en: Argument 'verbose' should be logical TRUE/FALSE
en: Argument ‘verbose’ should be logical TRUE/FALSE

en: Argument to 'which' must be logical
en: Argument to ‘which’ must be logical

en: Assigned 'id.vars' are [%s].
en: Assigned ‘id.vars’ are [%s].

en: Assigned 'measure.vars' are [%s].
en: Assigned ‘measure.vars’ are [%s].

en: Assigning factor numbers to column %d named '%s'. But %d is outside the level range [1,%d]
en: Assigning factor numbers to column %d named ‘%s’. But %d is outside the level range [1,%d]

en: Assigning factor numbers to column %d named '%s'. But %f is outside the level range [1,%d], or is not a whole number.
en: Assigning factor numbers to column %d named ‘%s’. But %f is outside the level range [1,%d], or is not a whole number.

en: Attempt to override column %d%s%.*s%s of inherent type '%s' down to '%s' ignored. Only overrides to a higher type are currently supported. If this was intended, please coerce to the lower type afterwards.
en: Attempt to override column %d%s%.*s%s of inherent type ‘%s’ down to ‘%s’ ignored. Only overrides to a higher type are currently supported. If this was intended, please coerce to the lower type afterwards.

en: Can't assign to column '%s' (type 'factor') a value of type '%s' (not character, factor, integer or numeric)
en: Can't assign to column ‘%s’ (type ‘factor’) a value of type ‘%s’ (not character, factor, integer or numeric)

en: Cannot assign '%s' to 'factor'. Factor columns can be assigned factor, character, NA in any type, or level numbers.
en: Cannot assign ‘%s’ to ‘factor’. Factor columns can be assigned factor, character, NA in any type, or level numbers.

en: Cannot assign 'factor' to '%s'. Factors can only be assigned to factor, character or list columns.
en: Cannot assign ‘factor’ to ‘%s’. Factors can only be assigned to factor, character or list columns.

en: Cannot coerce 'list' RHS to 'integer64' to match the type of the target column (column %d named '%s').
en: Cannot coerce ‘list’ RHS to ‘integer64’ to match the type of the target column (column %d named ‘%s’).

en: Coercing 'character' RHS to '%s' to match the type of the target column (column %d named '%s').
en: Coercing ‘character’ RHS to ‘%s’ to match the type of the target column (column %d named ‘%s’).

en: Coercing 'list' RHS to '%s' to match the type of the target column (column %d named '%s').
en: Coercing ‘list’ RHS to ‘%s’ to match the type of the target column (column %d named ‘%s’).

en: Column %d ('%s') appears more than once in colClasses. The second time is colClasses[[%d]][%d].
en: Column %d (‘%s’) appears more than once in colClasses. The second time is colClasses[[%d]][%d].

en: Column %d ['%s'] is a data.frame or data.table; malformed data.table.
en: Column %d [‘%s’] is a data.frame or data.table; malformed data.table.

en: Column %d ['%s'] is length %d but column 1 is length %d; malformed data.table.
en: Column %d [‘%s’] is length %d but column 1 is length %d; malformed data.table.

en: Column %d ['%s'] of item %d appears in position %d in item %d. Set use.names=TRUE to match by column name, or use.names=FALSE to ignore column names.%s
en: Column %d [‘%s’] of item %d appears in position %d in item %d. Set use.names=TRUE to match by column name, or use.names=FALSE to ignore column names.%s

en: Column %d ['%s'] of item %d is length 0. This (and %d other%s like it) has been filled with NA (NULL for list columns) to make each item uniform.
en: Column %d [‘%s’] of item %d is length 0. This (and %d other%s like it) has been filled with NA (NULL for list columns) to make each item uniform.

en: Column %d ['%s'] of item %d is missing in item %d. Use fill=TRUE to fill with NA (NULL for list columns), or use.names=FALSE to ignore column names.%s
en: Column %d [‘%s’] of item %d is missing in item %d. Use fill=TRUE to fill with NA (NULL for list columns), or use.names=FALSE to ignore column names.%s

en: Column %d of item %d has type 'factor' but has no levels; i.e. malformed.
en: Column %d of item %d has type ‘factor’ but has no levels; i.e. malformed.

en: Column %d of item %d is an ordered factor but level %d ['%s'] is missing from the ordered levels from column %d of item %d. Each set of ordered factor levels should be an ordered subset of the first longest. A regular factor will be created for this column.
en: Column %d of item %d is an ordered factor but level %d [‘%s’] is missing from the ordered levels from column %d of item %d. Each set of ordered factor levels should be an ordered subset of the first longest. A regular factor will be created for this column.

en: Column %d of item %d is an ordered factor with '%s'<'%s' in its levels. But '%s'<'%s' in the ordered levels from column %d of item %d. A regular factor will be created for this column due to this ambiguity.
en: Column %d of item %d is an ordered factor with ‘%s’<‘%s’ in its levels. But ‘%s’<‘%s’ in the ordered levels from column %d of item %d. A regular factor will be created for this column due to this ambiguity.

en: Column %d of result for group %d is type '%s' but expecting type '%s'. Column types must be consistent for each group.
en: Column %d of result for group %d is type ‘%s’ but expecting type ‘%s’. Column types must be consistent for each group.

en: Column %d passed to [f]order is type '%s', not yet supported.
en: Column %d passed to [f]order is type ‘%s’, not yet supported.

en: Column %d's type is '%s' - not yet implemented in fwrite.
en: Column %d's type is ‘%s’ - not yet implemented in fwrite.

en: Column '%s' does not exist to remove
en: Column ‘%s’ does not exist to remove

en: Column name '%s' (%s) not found
en: Column name ‘%s’ (%s) not found

en: Column name '%s' (colClasses[[%d]][%d]) not found
en: Column name ‘%s’ (colClasses[[%d]][%d]) not found

en: Column name '%s' not found in column name header (case sensitive), skipping.
en: Column name ‘%s’ not found in column name header (case sensitive), skipping.

en: Column number %d ('%s') has been selected twice by select=
en: Column number %d (‘%s’) has been selected twice by select=

en: Dropping index '%s' as it doesn't have '__' at the beginning of its name. It was very likely created by v1.9.4 of data.table.
en: Dropping index ‘%s’ as it doesn't have ‘__’ at the beginning of its name. It was very likely created by v1.9.4 of data.table.

en: Dropping index '%s' due to an update on a key column
en: Dropping index ‘%s’ due to an update on a key column

en: GForce max can only be applied to columns, not .SD or similar. To find max of all items in a list such as .SD, either add the prefix base::max(.SD) or turn off GForce optimization using options(datatable.optimize=1). More likely, you may be looking for 'DT[,lapply(.SD,max),by=,.SDcols=]'
en: GForce max can only be applied to columns, not .SD or similar. To find max of all items in a list such as .SD, either add the prefix base::max(.SD) or turn off GForce optimization using options(datatable.optimize=1). More likely, you may be looking for ‘DT[,lapply(.SD,max),by=,.SDcols=]’

en: GForce mean can only be applied to columns, not .SD or similar. Likely you're looking for 'DT[,lapply(.SD,mean),by=,.SDcols=]'. See ?data.table.
en: GForce mean can only be applied to columns, not .SD or similar. Likely you're looking for ‘DT[,lapply(.SD,mean),by=,.SDcols=]’. See ?data.table.

en: GForce median can only be applied to columns, not .SD or similar. To find median of all items in a list such as .SD, either add the prefix stats::median(.SD) or turn off GForce optimization using options(datatable.optimize=1). More likely, you may be looking for 'DT[,lapply(.SD,median),by=,.SDcols=]'
en: GForce median can only be applied to columns, not .SD or similar. To find median of all items in a list such as .SD, either add the prefix stats::median(.SD) or turn off GForce optimization using options(datatable.optimize=1). More likely, you may be looking for ‘DT[,lapply(.SD,median),by=,.SDcols=]’

en: GForce min can only be applied to columns, not .SD or similar. To find min of all items in a list such as .SD, either add the prefix base::min(.SD) or turn off GForce optimization using options(datatable.optimize=1). More likely, you may be looking for 'DT[,lapply(.SD,min),by=,.SDcols=]'
en: GForce min can only be applied to columns, not .SD or similar. To find min of all items in a list such as .SD, either add the prefix base::min(.SD) or turn off GForce optimization using options(datatable.optimize=1). More likely, you may be looking for ‘DT[,lapply(.SD,min),by=,.SDcols=]’

en: GForce prod can only be applied to columns, not .SD or similar. To multiply all items in a list such as .SD, either add the prefix base::prod(.SD) or turn off GForce optimization using options(datatable.optimize=1). More likely, you may be looking for 'DT[,lapply(.SD,prod),by=,.SDcols=]'
en: GForce prod can only be applied to columns, not .SD or similar. To multiply all items in a list such as .SD, either add the prefix base::prod(.SD) or turn off GForce optimization using options(datatable.optimize=1). More likely, you may be looking for ‘DT[,lapply(.SD,prod),by=,.SDcols=]’

en: GForce var/sd can only be applied to columns, not .SD or similar. For the full covariance matrix of all items in a list such as .SD, either add the prefix stats::var(.SD) (or stats::sd(.SD)) or turn off GForce optimization using options(datatable.optimize=1). Alternatively, if you only need the diagonal elements, 'DT[,lapply(.SD,var),by=,.SDcols=]' is the optimized way to do this.
en: GForce var/sd can only be applied to columns, not .SD or similar. For the full covariance matrix of all items in a list such as .SD, either add the prefix stats::var(.SD) (or stats::sd(.SD)) or turn off GForce optimization using options(datatable.optimize=1). Alternatively, if you only need the diagonal elements, ‘DT[,lapply(.SD,var),by=,.SDcols=]’ is the optimized way to do this.

en: Group %d column '%s': %s
en: Group %d column ‘%s’: %s

en: Has getOption('datatable.alloccol') somehow become unset? It should be a number, by default 1024.
en: Has getOption(‘datatable.alloccol’) somehow become unset? It should be a number, by default 1024.

en: If quote='auto', fields will be quoted if the field contains either sep ('%c') or sep2 ('%c') because column %d is a list column.
en: If quote=‘auto’, fields will be quoted if the field contains either sep (‘%c’) or sep2 (‘%c’) because column %d is a list column.

en: Input argument 'n' to 'uniqlengths' must be an integer vector of length 1
en: Input argument ‘n’ to ‘uniqlengths’ must be an integer vector of length 1

en: Input argument 'x' to 'uniqlengths' must be an integer vector
en: Input argument ‘x’ to ‘uniqlengths’ must be an integer vector

en: Internal error in bmerge_r for '%s' column. Unrecognized value op[col]=%d
en: Internal error in bmerge_r for ‘%s’ column. Unrecognized value op[col]=%d

en: Internal error in coalesce.c: argument 'inplaceArg' must be TRUE or FALSE
en: Internal error in coalesce.c: argument ‘inplaceArg’ must be TRUE or FALSE

en: Internal error in concat: 'idx' must take values between 1 and length(vec); 1 <= idx <= %d
en: Internal error in concat: ‘idx’ must take values between 1 and length(vec); 1 <= idx <= %d

en: Internal error. 'idx' is type '%s' not 'integer'
en: Internal error. ‘idx’ is type ‘%s’ not ‘integer’

en: Internal error. 'maxArg' is type '%s' and length %d, should be an integer singleton
en: Internal error. ‘maxArg’ is type ‘%s’ and length %d, should be an integer singleton

en: Internal error. Argument 'cols' to CanyNA is type '%s' not 'integer'
en: Internal error. Argument ‘cols’ to CanyNA is type ‘%s’ not ‘integer’

en: Internal error. Argument 'cols' to Cdt_na is type '%s' not 'integer'
en: Internal error. Argument ‘cols’ to Cdt_na is type ‘%s’ not ‘integer’

en: Internal error. Argument 'cols' to Csubset is type '%s' not 'integer'
en: Internal error. Argument ‘cols’ to Csubset is type ‘%s’ not ‘integer’

en: Internal error. Argument 'x' to CanyNA is type '%s' not 'list'
en: Internal error. Argument ‘x’ to CanyNA is type ‘%s’ not ‘list’

en: Internal error. Argument 'x' to Cdt_na is type '%s' not 'list'
en: Internal error. Argument ‘x’ to Cdt_na is type ‘%s’ not ‘list’

en: Internal error. Argument 'x' to CsubsetDT is type '%s' not 'list'
en: Internal error. Argument ‘x’ to CsubsetDT is type ‘%s’ not ‘list’

en: Internal error: CHARSXP '%s' has a negative truelength (%d). Please file an issue on the data.table tracker.
en: Internal error: CHARSXP ‘%s’ has a negative truelength (%d). Please file an issue on the data.table tracker.

en: Internal error: DT has %d columns but 'by' is either not integer or is length 0
en: Internal error: DT has %d columns but ‘by’ is either not integer or is length 0

en: Internal error: NAstringsArg is type '%s'. R level catches this
en: Internal error: NAstringsArg is type ‘%s’. R level catches this

en: Internal error: between.c unsupported type '%s' should have been caught at R level
en: Internal error: between.c unsupported type ‘%s’ should have been caught at R level

en: Internal error: column %d of result is determined to be integer64 but maxType=='%s' != REALSXP
en: Internal error: column %d of result is determined to be integer64 but maxType==‘%s’ != REALSXP

en: Internal error: column type '%s' not supported by data.table subset. All known types are supported so please report as bug.
en: Internal error: column type ‘%s’ not supported by data.table subset. All known types are supported so please report as bug.

en: Internal error: copyAsPlain returning ALTREP for type '%s'
en: Internal error: copyAsPlain returning ALTREP for type ‘%s’

en: Internal error: earlier error 'When deleting columns, i should not be provided' did not happen.
en: Internal error: earlier error ‘When deleting columns, i should not be provided’ did not happen.

en: Internal error: growVector doesn't support type '%s'
en: Internal error: growVector doesn't support type ‘%s’

en: Internal error: gsum returned type '%s'. typeof(x) is '%s'
en: Internal error: gsum returned type ‘%s’. typeof(x) is ‘%s’

en: Internal error: invalid value for 'mult'. please report to data.table issue tracker
en: Internal error: invalid value for ‘mult’. please report to data.table issue tracker

en: Internal error: invalid value for 'mult'; this should have been caught before. please report to data.table issue tracker
en: Internal error: invalid value for ‘mult’; this should have been caught before. please report to data.table issue tracker

en: Internal error: invalid value for 'type'; this should have been caught before. please report to data.table issue tracker
en: Internal error: invalid value for ‘type’; this should have been caught before. please report to data.table issue tracker

en: Internal error: issorted 'by' must be NULL or integer vector
en: Internal error: issorted ‘by’ must be NULL or integer vector

en: Internal error: reading colnames ending on '%c'
en: Internal error: reading colnames ending on ‘%c’

en: Internal error: type '%s' not caught earlier in fastmean
en: Internal error: type ‘%s’ not caught earlier in fastmean

en: Internal error: unsupported size-0 type '%s' in column %d of 'by' should have been caught earlier
en: Internal error: unsupported size-0 type ‘%s’ in column %d of ‘by’ should have been caught earlier

en: Internal error: unsupported type '%s' passed to copyAsPlain()
en: Internal error: unsupported type ‘%s’ passed to copyAsPlain()

en: Internal error: writeNA passed a vector of type '%s'
en: Internal error: writeNA passed a vector of type ‘%s’

en: Internal structure doesn't seem to be a list. Can't set class to be 'data.table' or 'data.frame'. Use 'as.data.table()' or 'as.data.frame()' methods instead.
en: Internal structure doesn't seem to be a list. Can't set class to be ‘data.table’ or ‘data.frame’. Use ‘as.data.table()’ or ‘as.data.frame()’ methods instead.

en: Invalid value integer64='%s'. Must be 'integer64', 'character', 'double' or 'numeric'
en: Invalid value integer64=‘%s’. Must be ‘integer64’, ‘character’, ‘double’ or ‘numeric’

en: Item %d of 'cols' is %d which is outside 1-based range [1,ncol(x)=%d]
en: Item %d of ‘cols’ is %d which is outside 1-based range [1,ncol(x)=%d]

en: Item %d of 'which' is %d which is outside range of the length %d character vector
en: Item %d of ‘which’ is %d which is outside range of the length %d character vector

en: Item %d of list is type '%s' which isn't yet supported (SIZEOF=%d)
en: Item %d of list is type ‘%s’ which isn't yet supported (SIZEOF=%d)

en: Item %d of lower ('%s') is greater than item %d of upper ('%s')
en: Item %d of lower (‘%s’) is greater than item %d of upper (‘%s’)

en: Length of 'default' must be 1.
en: Length of ‘default’ must be 1.

en: No list columns are present. Setting sep2='' otherwise quote='auto' would quote fields containing sep2.
en: No list columns are present. Setting sep2=‘’ otherwise quote=‘auto’ would quote fields containing sep2.

en: No non-missing values found in at least one group. Coercing to numeric type and returning 'Inf' for such groups to be consistent with base
en: No non-missing values found in at least one group. Coercing to numeric type and returning ‘Inf’ for such groups to be consistent with base

en: No non-missing values found in at least one group. Returning '-Inf' for such groups to be consistent with base
en: No non-missing values found in at least one group. Returning ‘-Inf’ for such groups to be consistent with base

en: No non-missing values found in at least one group. Returning 'Inf' for such groups to be consistent with base
en: No non-missing values found in at least one group. Returning ‘Inf’ for such groups to be consistent with base

en: No non-missing values found in at least one group. Returning 'NA' for such groups to be consistent with base
en: No non-missing values found in at least one group. Returning ‘NA’ for such groups to be consistent with base

en: One or more values in 'id.vars' is invalid.
en: One or more values in ‘id.vars’ is invalid.

en: One or more values in 'measure.vars' is invalid.
en: One or more values in ‘measure.vars’ is invalid.

en: Only '==' operator is supported for columns of type %s.
en: Only ‘==’ operator is supported for columns of type %s.

en: RHS of assignment to existing column '%s' is zero length but not NULL. If you intend to delete the column use NULL. Otherwise, the RHS must have length > 0; e.g., NA_integer_. If you are trying to change the column type to be an empty list column then, as with all column type changes, provide a full length RHS vector such as vector('list',nrow(DT)); i.e., 'plonk' in the new column.
en: RHS of assignment to existing column ‘%s’ is zero length but not NULL. If you intend to delete the column use NULL. Otherwise, the RHS must have length > 0; e.g., NA_integer_. If you are trying to change the column type to be an empty list column then, as with all column type changes, provide a full length RHS vector such as vector(‘list’,nrow(DT)); i.e., ‘plonk’ in the new column.

en: Resulting value and 'default' are both type factor but their levels are different.
en: Resulting value and ‘default’ are both type factor but their levels are different.

en: Resulting value has different class than 'default'. Please make sure that both arguments have the same class.
en: Resulting value has different class than ‘default’. Please make sure that both arguments have the same class.

en: Resulting value is of type %s but 'default' is of type %s. Please make sure that both arguments have the same type.
en: Resulting value is of type %s but ‘default’ is of type %s. Please make sure that both arguments have the same type.

en: Shortening index '%s' to '%s' due to an update on a key column
en: Shortening index ‘%s’ to ‘%s’ due to an update on a key column

en: Supplied %d items for column %d of group %d which has %d rows. The RHS length must either be 1 (single values are ok) or match the LHS length exactly. If you wish to 'recycle' the RHS please use rep() explicitly to make this intent clear to readers of your code.
en: Supplied %d items for column %d of group %d which has %d rows. The RHS length must either be 1 (single values are ok) or match the LHS length exactly. If you wish to ‘recycle’ the RHS please use rep() explicitly to make this intent clear to readers of your code.

en: Supplied %d items to be assigned to %d items of column '%s'. If you wish to 'recycle' the RHS please use rep() to make this intent clear to readers of your code.
en: Supplied %d items to be assigned to %d items of column ‘%s’. If you wish to ‘recycle’ the RHS please use rep() to make this intent clear to readers of your code.

en: Supplied %d items to be assigned to group %d of size %d in column '%s'. The RHS length must either be 1 (single values are ok) or match the LHS length exactly. If you wish to 'recycle' the RHS please use rep() explicitly to make this intent clear to readers of your code.
en: Supplied %d items to be assigned to group %d of size %d in column ‘%s’. The RHS length must either be 1 (single values are ok) or match the LHS length exactly. If you wish to ‘recycle’ the RHS please use rep() explicitly to make this intent clear to readers of your code.

en: The C expression (uint_fast8_t)('/'-'0')<10 is true. Should be false.
en: The C expression (uint_fast8_t)(‘/’-‘0’)<10 is true. Should be false.

en: The C expression (uint_fast8_t)('9'-':')<10 is true. Should be false.
en: The C expression (uint_fast8_t)(‘9’-‘:’)<10 is true. Should be false.

en: The ascii character '/' is not just before '0'
en: The ascii character ‘/’ is not just before ‘0’

en: The ascii character ':' is not just after '9'
en: The ascii character ‘:’ is not just after ‘9’

en: The molten data value type is a list at item %d. 'na.rm=TRUE' is ignored.
en: The molten data value type is a list at item %d. ‘na.rm=TRUE’ is ignored.

en: The sum of an integer column for a group was more than type 'integer' can hold so the result has been coerced to 'numeric' automatically for convenience.
en: The sum of an integer column for a group was more than type ‘integer’ can hold so the result has been coerced to ‘numeric’ automatically for convenience.

en: This file is very unusual: it ends abruptly without a final newline, and also its size is a multiple of 4096 bytes. Please properly end the last row with a newline using for example 'echo >> file' to avoid this
en: This file is very unusual: it ends abruptly without a final newline, and also its size is a multiple of 4096 bytes. Please properly end the last row with a newline using for example ‘echo >> file’ to avoid this

en: Type '%s' not supported
en: Type ‘%s’ not supported

en: Type '%s' not supported by CJ.
en: Type ‘%s’ not supported by CJ.

en: Type '%s' not supported by GForce head (ghead). Either add the prefix utils::head(.) or turn off GForce optimization using options(datatable.optimize=1)
en: Type ‘%s’ not supported by GForce head (ghead). Either add the prefix utils::head(.) or turn off GForce optimization using options(datatable.optimize=1)

en: Type '%s' not supported by GForce max (gmax). Either add the prefix base::max(.) or turn off GForce optimization using options(datatable.optimize=1)
en: Type ‘%s’ not supported by GForce max (gmax). Either add the prefix base::max(.) or turn off GForce optimization using options(datatable.optimize=1)

en: Type '%s' not supported by GForce mean (gmean) na.rm=TRUE. Either add the prefix base::mean(.) or turn off GForce optimization using options(datatable.optimize=1)
en: Type ‘%s’ not supported by GForce mean (gmean) na.rm=TRUE. Either add the prefix base::mean(.) or turn off GForce optimization using options(datatable.optimize=1)

en: Type '%s' not supported by GForce median (gmedian). Either add the prefix stats::median(.) or turn off GForce optimization using options(datatable.optimize=1)
en: Type ‘%s’ not supported by GForce median (gmedian). Either add the prefix stats::median(.) or turn off GForce optimization using options(datatable.optimize=1)

en: Type '%s' not supported by GForce min (gmin). Either add the prefix base::min(.) or turn off GForce optimization using options(datatable.optimize=1)
en: Type ‘%s’ not supported by GForce min (gmin). Either add the prefix base::min(.) or turn off GForce optimization using options(datatable.optimize=1)

en: Type '%s' not supported by GForce prod (gprod). Either add the prefix base::prod(.) or turn off GForce optimization using options(datatable.optimize=1)
en: Type ‘%s’ not supported by GForce prod (gprod). Either add the prefix base::prod(.) or turn off GForce optimization using options(datatable.optimize=1)

en: Type '%s' not supported by GForce sd (gsd). Either add the prefix stats::sd(.) or turn off GForce optimization using options(datatable.optimize=1)
en: Type ‘%s’ not supported by GForce sd (gsd). Either add the prefix stats::sd(.) or turn off GForce optimization using options(datatable.optimize=1)

en: Type '%s' not supported by GForce subset `[` (gnthvalue). Either add the prefix utils::head(.) or turn off GForce optimization using options(datatable.optimize=1)
en: Type ‘%s’ not supported by GForce subset `[` (gnthvalue). Either add the prefix utils::head(.) or turn off GForce optimization using options(datatable.optimize=1)

en: Type '%s' not supported by GForce sum (gsum). Either add the prefix base::sum(.) or turn off GForce optimization using options(datatable.optimize=1)
en: Type ‘%s’ not supported by GForce sum (gsum). Either add the prefix base::sum(.) or turn off GForce optimization using options(datatable.optimize=1)

en: Type '%s' not supported by GForce tail (gtail). Either add the prefix utils::tail(.) or turn off GForce optimization using options(datatable.optimize=1)
en: Type ‘%s’ not supported by GForce tail (gtail). Either add the prefix utils::tail(.) or turn off GForce optimization using options(datatable.optimize=1)

en: Type '%s' not supported by GForce var (gvar). Either add the prefix stats::var(.) or turn off GForce optimization using options(datatable.optimize=1)
en: Type ‘%s’ not supported by GForce var (gvar). Either add the prefix stats::var(.) or turn off GForce optimization using options(datatable.optimize=1)

en: Type '%s' not supported for joining/merging
en: Type ‘%s’ not supported for joining/merging

en: Type 'complex' has no well-defined max
en: Type ‘complex’ has no well-defined max

en: Type 'complex' has no well-defined min
en: Type ‘complex’ has no well-defined min

en: Unable to allocate %d MB * %d thread buffers; '%d: %s'. Please read ?fwrite for nThread, buffMB and verbose options.
en: Unable to allocate %d MB * %d thread buffers; ‘%d: %s’. Please read ?fwrite for nThread, buffMB and verbose options.

en: Unable to allocate %d MB * %d thread compressed buffers; '%d: %s'. Please read ?fwrite for nThread, buffMB and verbose options.
en: Unable to allocate %d MB * %d thread compressed buffers; ‘%d: %s’. Please read ?fwrite for nThread, buffMB and verbose options.

en: Unknown 'id.vars' type %s, must be character or integer vector
en: Unknown ‘id.vars’ type %s, must be character or integer vector

en: Unknown 'measure.vars' type %s at index %d of list
en: Unknown ‘measure.vars’ type %s at index %d of list

en: Unknown 'measure.vars' type %s, must be character or integer vector
en: Unknown ‘measure.vars’ type %s, must be character or integer vector

en: Unknown 'measure.vars' type %s, must be character or integer vector/list
en: Unknown ‘measure.vars’ type %s, must be character or integer vector/list

en: Unknown column type '%s' for column '%s' in 'data'
en: Unknown column type ‘%s’ for column ‘%s’ in ‘data’

en: Unknown column type '%s' for column '%s'.
en: Unknown column type ‘%s’ for column ‘%s’.

en: Unsupported column type '%s'
en: Unsupported column type ‘%s’

en: Unsupported column type in assign.c:memrecycle '%s'
en: Unsupported column type in assign.c:memrecycle ‘%s’

en: Unsupported column type in fcast val: '%s'
en: Unsupported column type in fcast val: ‘%s’

en: Unsupported type '%s'
en: Unsupported type ‘%s’

en: Unsupported type '%s' passed to allNA()
en: Unsupported type ‘%s’ passed to allNA()

en: When 'measure.vars' is a list, 'value.name' must be a character vector of length =1 or =length(measure.vars).
en: When ‘measure.vars’ is a list, ‘value.name’ must be a character vector of length =1 or =length(measure.vars).

en: When 'measure.vars' is either not specified or a character/integer vector, 'value.name' must be a character vector of length =1.
en: When ‘measure.vars’ is either not specified or a character/integer vector, ‘value.name’ must be a character vector of length =1.

en: Zero-copy coerce when assigning '%s' to '%s' column %d named '%s'.
en: Zero-copy coerce when assigning ‘%s’ to ‘%s’ column %d named ‘%s’.

en: adaptive rolling function can only process 'x' having equal length of elements, like data.table or data.frame; If you want to call rolling function on list having variable length of elements call it for each field separately
en: adaptive rolling function can only process ‘x’ having equal length of elements, like data.table or data.frame; If you want to call rolling function on list having variable length of elements call it for each field separately

en: argument specifying columns is type 'double' and one or more items in it are not whole integers
en: argument specifying columns is type ‘double’ and one or more items in it are not whole integers

en: argument specifying columns specify non existing column(s): cols[%d]='%s'
en: argument specifying columns specify non existing column(s): cols[%d]=‘%s’

en: colClasses is type '%s' but should be list or character
en: colClasses is type ‘%s’ but should be list or character

en: concat: 'idx' must be an integer vector of length >= 0
en: concat: ‘idx’ must be an integer vector of length >= 0

en: concat: 'vec' must be a character vector
en: concat: ‘vec’ must be a character vector

en: data.table is NULL; malformed. A null data.table should be an empty list. typeof() should always return 'list' for data.table.
en: data.table is NULL; malformed. A null data.table should be an empty list. typeof() should always return ‘list’ for data.table.

en: dec='' not allowed. Should be '.' or ','
en: dec=‘’ not allowed. Should be ‘.’ or ‘,’

en: encoding='%s' invalid. Must be 'unknown', 'Latin-1' or 'UTF-8'
en: encoding=‘%s’ invalid. Must be ‘unknown’, ‘Latin-1’ or ‘UTF-8’

en: forder.c received a vector type '%s' length %d
en: forder.c received a vector type ‘%s’ length %d

en: gather implemented for INTSXP, REALSXP, and CPLXSXP but not '%s'
en: gather implemented for INTSXP, REALSXP, and CPLXSXP but not ‘%s’

en: getOption('datatable.alloc') is a numeric vector ok but its length is %d. Its length should be 1.
en: getOption(‘datatable.alloc’) is a numeric vector ok but its length is %d. Its length should be 1.

en: getOption('datatable.alloc')==%d.  It must be >=0 and not NA.
en: getOption(‘datatable.alloc’)==%d.  It must be >=0 and not NA.

en: getOption('datatable.alloccol') should be a number, by default 1024. But its type is '%s'.
en: getOption(‘datatable.alloccol’) should be a number, by default 1024. But its type is ‘%s’.

en: i is type '%s'. Must be integer, or numeric is coerced with warning. If i is a logical subset, simply wrap with which(), and take the which() outside the loop if possible for efficiency.
en: i is type ‘%s’. Must be integer, or numeric is coerced with warning. If i is a logical subset, simply wrap with which(), and take the which() outside the loop if possible for efficiency.

en: id.vars and measure.vars are internally guessed when both are 'NULL'. All non-numeric/integer/logical type columns are considered id.vars, which in this case are columns [%s]. Consider providing at least one of 'id' or 'measure' vars in future.
en: id.vars and measure.vars are internally guessed when both are ‘NULL’. All non-numeric/integer/logical type columns are considered id.vars, which in this case are columns [%s]. Consider providing at least one of ‘id’ or ‘measure’ vars in future.

en: internal error: 'by' value %d out of range [1,%d]
en: internal error: ‘by’ value %d out of range [1,%d]

en: internal error: 'fun' must be a function
en: internal error: ‘fun’ must be a function

en: internal error: 'rho' should be an environment
en: internal error: ‘rho’ should be an environment

en: issorted 'by' [%d] out of range [1,%d]
en: issorted ‘by’ [%d] out of range [1,%d]

en: j evaluates to type '%s'. Must evaluate to atomic vector or list.
en: j evaluates to type ‘%s’. Must evaluate to atomic vector or list.

en: j is type '%s'. Must be integer, character, or numeric is coerced with warning.
en: j is type ‘%s’. Must be integer, character, or numeric is coerced with warning.

en: length of integer vector(s) provided as list to 'n' argument must be equal to number of observations provided in 'x'
en: length of integer vector(s) provided as list to ‘n’ argument must be equal to number of observations provided in ‘x’

en: options()$datatable.rbindlist.check=='%s' which is not 'message'|'warning'|'error'|'none'. See news item 5 in v1.12.2.
en: options()$datatable.rbindlist.check==‘%s’ which is not ‘message’|‘warning’|‘error’|‘none’. See news item 5 in v1.12.2.

en: quote == dec ('%c') is not allowed
en: quote == dec (‘%c’) is not allowed

en: reorder accepts vectors but this non-VECSXP is type '%s' which isn't yet supported (SIZEOF=%d)
en: reorder accepts vectors but this non-VECSXP is type ‘%s’ which isn't yet supported (SIZEOF=%d)

en: roll is character but not 'nearest'
en: roll is character but not ‘nearest’

en: roll='nearest' can't be applied to a character column, yet.
en: roll=‘nearest’ can't be applied to a character column, yet.

en: sep ('%c'), sep2 ('%c') and dec ('%c') must all be different. Column %d is a list column.
en: sep (‘%c’), sep2 (‘%c’) and dec (‘%c’) must all be different. Column %d is a list column.

en: sep == dec ('%c') is not allowed
en: sep == dec (‘%c’) is not allowed

en: sep == quote ('%c') is not allowed
en: sep == quote (‘%c’) is not allowed

en: skip='%s' not found in input (it is case sensitive and literal; i.e., no patterns, wildcards or regex)
en: skip=‘%s’ not found in input (it is case sensitive and literal; i.e., no patterns, wildcards or regex)

en: table is type '%s' (must be 'character' or NULL)
en: table is type ‘%s’ (must be ‘character’ or NULL)

en: type '%s' cannot be coerced to '%s'
en: type ‘%s’ cannot be coerced to ‘%s’

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

en: type '%s' passed to shift(). Must be a vector, list, data.frame or data.table
en: type ‘%s’ passed to shift(). Must be a vector, list, data.frame or data.table

en: using adaptive TRUE and align argument different than 'right' is not implemented
en: using adaptive TRUE and align argument different than ‘right’ is not implemented

en: x is type '%s' (must be 'character' or NULL)
en: x is type ‘%s’ (must be ‘character’ or NULL)

en: x must be a vector of type 'double' currently
en: x must be a vector of type ‘double’ currently

en: x must be type 'double'
en: x must be type ‘double’
