T Function Reference - index

Function Reference

Function	Description
abs	Absolute value
acos	Inverse cosine
acosh	Inverse hyperbolic cosine
add_diagnostics	Add Model Diagnostics
anova	Analysis of Variance (ANOVA)
apropos	Search for functions by keyword
args	Get function arguments and their types
arrange	Arrange rows
asin	Inverse sine
asinh	Inverse hyperbolic sine
assert	Assert Condition
atan	Inverse tangent
atan2	Two-argument arctangent
atanh	Inverse hyperbolic tangent
augment	Augment Data with Model Calculations
body	Get function body
build_pipeline	Build Pipeline Artifacts
build_pipeline_internal	Build Pipeline Internally
case_when	Vectorized Case-When
casewhen	Vectorized case-when
cat	Print values without escaping
cbind	Column bind matrices
ceil	Ceiling alias
ceiling	Ceiling function
char_at	Get character at index
clean_colnames	Clean DataFrame Column Names
clean_names	Clean Column Names
coef	Model Coefficients
colnames	Get column names
compare	Compare Models
conf_int	Confidence Intervals for Model Coefficients
contains	Check if string contains substring
cor	Correlation
cos	Cosine
cosh	Hyperbolic cosine
cov	Covariance
cumall	Cumulative All
cumany	Cumulative Any
cume_dist	Cumulative Distribution
cummax	Cumulative Maximum
cummean	Cumulative Mean
cummin	Cumulative Minimum
cumsum	Cumulative Sum
cv	Coefficient of variation
dataframe	Create a DataFrame
dense_rank	Dense Rank
deserialize	Deserialize Value
deserialize_from_file	Binary Deserialization
df_residual	Residual Degrees of Freedom
diag	Create or extract diagonal
dispersion	Dispersion Parameter
ends_with	Check if string ends with suffix
error	Raise Error
error_code	Get error code
error_context	Get error context
error_message	Get error message
exp	Exponential function
explain	Explain Value
explain_json	Explain Value as JSON
expr	Capture an expression
exprs	Capture multiple expressions
filter	Filter rows
fit_stats	Model Fit Statistics
fivenum	Five-number summary
floor	Floor function
get	Get element by index
glimpse	Glimpse DataFrame
greet	Greet someone
group_by	Group by columns
head	Get the first n rows/items
help	Display documentation for a function
huber_loss	Huber loss
ifelse	Vectorized If-Else
index_of	Find index of substring
inspect_node	Inspect Pipeline Node Metadata
inspect_pipeline	Inspect Pipeline Logs
intent_fields	Get All Intent Fields
intent_get	Get Intent Field
inv	Matrix inverse
iota	Create a vector of ones
iqr	Interquartile range
is_empty	Check if string is empty
is_error	Check if a value is an Error
is_na	Check for NA
join	Join strings with a separator
json_escape	JSON String Escaper
json_unescape	JSON String Unescaper
kron	Kronecker product
kurtosis	Excess kurtosis
lag	Lag values
last_index_of	Find last index of substring
lead	Lead values
length	Get length
list_logs	List Pipeline Logs
lm	Linear Model
log	Natural logarithm
mad	Median absolute deviation
map	Map a function over a list
matmul	Matrix multiplication
max	Maximum value
mean	Compute arithmetic mean of numeric values
median	Median
min	Minimum value
min_rank	Minimum Rank
mode	Mode
mutate	Create or modify columns
na	Generic NA
na_bool	Boolean NA
na_float	Float NA
na_int	Integer NA
na_string	String NA
nchar	Get character count
ncol	Number of columns
ndarray	Create an N-dimensional array
ndarray_data	Get NDArray data
nobs	Number of Observations
node	Configure a Pipeline Node
normalize	Normalize values
nrow	Number of rows
ntile	N-tiles
package_info	Get package information
packages	List available packages
parse_file	Parse T-Doc Comments
percent_rank	Percent Rank
pipeline_deps	List Node Dependencies
pipeline_node	Get Pipeline Node
pipeline_nodes	List Pipeline Nodes
pipeline_run	Run Pipeline
populate_pipeline	Populate Pipeline
pow	Power function
predict	Linear Model Prediction
pretty_print	Pretty-print a value
print	Print values to standard output
pull	Extract column as vector
quantile	Quantiles
range	Range
read_csv	Read CSV file
read_node	Read Pipeline Node Artifact
read_registry	Registry Maintenance (Reader)
rebuild_node	Rebuild a Pipeline Node
replace	Replace all occurrences
replace_first	Replace first occurrence
reshape	Reshape an NDArray
residuals	Model Residuals
round	Round values
row_number	Row Number
run_doctor	Run Package/Project Doctor
scaffold_package	Scaffold a new T package
scaffold_project	Scaffold a new T project
scale	Scale values
score	Model Scoring
sd	Standard Deviation
select	Select columns
seq	Generate a sequence of integers
serialize	Serialize Value
serialize_to_file	Binary Serialization
shape	Get NDArray dimensions
sigma	Residual Standard Deviation
sign	Sign of number
signif	Significant-digit rounding
sin	Sine
sinh	Hyperbolic sine
skewness	Skewness
slice	Extract slice
source	Get function source code
sprintf	Format a string
sqrt	Square root
standardize	Standardize values
starts_with	Check if string starts with prefix
string	Convert to string
substring	Extract substring
sum	Sum of numeric values
summarize	Summarize data
summary	Model Summary
t_doc	Generate Documentation
t_read_json	Read Value from JSON
t_run	Run a T script
t_test	Run tests
t_write_json	Write Value to JSON
tail	Get the last n rows/items
tan	Tangent
tanh	Hyperbolic tangent
to_array	Convert to NDArray
to_lower	Convert to lowercase
to_upper	Convert to uppercase
trace_nodes	Trace Pipeline Nodes
transpose	Transpose matrix
trimmed_mean	Trimmed mean
trunc	Truncate values
type	Get the type name of a value
ungroup	Remove grouping
update_flake_lock	Update Dependencies
var	Variance
vcov	Variance-Covariance Matrix
wald_test	Joint Wald Test
winsorize	Winsorize values
write_csv	Write CSV file
write_registry	Registry Maintenance (Writer)
write_text	Write text to a file