datar.apis
module
datar.apis.base
APIs ported from r-base
Functions
abs_(x)(Any) — Compute the absolute value of a vector</>acos(x)(Any) — Get the inverse cosine</>acosh(x)(Any) — Get the inverse hyperbolic cosine</>all_(x,na_rm)(Any) — Are all elements true</>any_(x,na_rm)(Any) — Is any element true</>any_na(x)(Any) — Check if anything inxis NA</>append(x,values,after)(Any) — Append values to the vector</>arg(x)(Any) — Angles of complex numbers</>as_character(x)(Any) — Convert a vector to a character vector</>as_complex(x)(Any) — Convert a vector to a complex vector</>as_date(x,format,try_formats,optional,tz,origin)(Any) — Convert an object to a datetime.date object</>as_double(x)(Any) — Convert a vector to a double vector</>as_factor(x)(Any) — Convert a vector to a factor vector</>as_integer(x)(Any) — Convert a vector to an integer vector</>as_logical(x)(Any) — Convert a vector to a logical vector</>as_null(x)(Any) — Convert anything to NULL</>as_numeric(x)(Any) — Convert a vector to a numeric vector</>as_ordered(x)(Any) — Convert a vector to an ordered vector</>asin(x)(Any) — Get the inverse sine</>asinh(x)(Any) — Get the inverse hyperbolic sine</>atan(x)(Any) — Get the inverse tangent</>atan2(y,x)(Any) — Get the inverse tangent of y/x</>atanh(x)(Any) — Get the inverse hyperbolic tangent</>bessel_i(x,nu,expon_scaled)(Any) — Compute the modified Bessel function of the first kind</>bessel_j(x,nu)(Any) — Compute the Bessel function of the first kind</>bessel_k(x,nu,expon_scaled)(Any) — Compute the modified Bessel function of the second kind</>bessel_y(x,nu)(Any) — Compute the Bessel function of the second kind</>beta(x,y)(Any) — Compute the beta function</>c_(*args)(Any) — Concatenate vectors</>ceiling(x)(Any) — Round up to the nearest integer</>chartr(old,new,x)(Any) — Translate characters</>choose(n,k)(Any) — Compute the binomial coefficient</>col_means(x,na_rm)(Any) — Compute the column means of a matrix</>col_medians(x,na_rm)(Any) — Compute the column medians of a matrix</>col_sds(x,na_rm)(Any) — Compute the column standard deviations of a matrix</>col_sums(x,na_rm)(Any) — Compute the column sums of a matrix</>colnames(x,nested)(Any) — Get the column names</>complete_cases(x)(Any) — Get the complete cases</>conj(x)(Any) — Complex conjugate</>cos(x)(Any) — Get the cosine</>cosh(x)(Any) — Get the hyperbolic cosine</>cospi(x)(Any) — Get the cosine of pi times x</>cov(x,y,na_rm,ddof)(Any) — Compute pairwise covariance between two variables</>cummax(x)(Any) — Cumulative maxima</>cummin(x)(Any) — Cumulative minima</>cumprod(x)(Any) — Cumulative products</>cumsum(x)(Any) — Cumulative sums</>cut(x,breaks,labels,include_lowest,right,dig_lab,ordered_result)(Any) — Cut a numeric vector into bins</>diag(x,nrow,ncol)(Any) — Get the diagonal of a matrix</>diff(x,lag,differences)(An array of `x[lag) — Difference of a numeric vector</>digamma(x)(Any) — Compute the digamma function</>dim(x,nested)(Any) — Get the dimensions</>droplevels(x)(Any) — Drop unused levels of a factor</>duplicated(x,incomparables,from_last)(Any) — Get the duplicated values</>endswith(x,suffix)(Any) — Does x end with suffix</>exp(x)(Any) — Compute the exponential of a vector</>expand_grid(x,*args,**kwargs)(Any) — Expand a grid</>factor(x,levels,labels,exclude,ordered,nmax)(Any) — Create a factor vector</>factorial(x)(Any) — Compute the factorial</>floor(x)(Any) — Round down to the nearest integer</>gamma(x)(Any) — Compute the gamma function</>grep(pattern,x,ignore_case,value,fixed,invert)(Any) — Grep for a pattern</>grepl(pattern,x,ignore_case,fixed)(Any) — Grep for a pattern</>gsub(pattern,replacement,x,ignore_case,fixed)(Any) — Substitute a pattern</>head(x,n)(Any) — Get the first n rows</>identity(x)(Any) — Identity function</>im(x)(Any) — Imaginary part of complex numbers</>intersect(x,y)(Any) — Get the intersection of two vectors</>is_atomic(x)(Any) — Is the object atomic</>is_character(x)(Any) — Is x a character vector</>is_complex(x)(Any) — Check if a vector is complex</>is_double(x)(Any) — Is the object a double</>is_element(x,y)(Any) — Is the object an element of the table</>is_factor(x)(Any) — Check if a vector is a factor</>is_false(x)(bool) — Check if anything is false</>is_finite(x)(Any) — Check if anything is finite</>is_infinite(x)(Any) — Check if anything is infinite</>is_integer(x)(Any) — Is the object an integer</>is_logical(x)(Any) — Check if a vector is logical</>is_na(x)(Any) — Check if anything is NA</>is_null(x)(Any) — Check if anything is NULL</>is_numeric(x)(Any) — Is the object numeric</>is_ordered(x)(Any) — Check if a vector is ordered</>is_true(x)(bool) — Check if anything is true</>lbeta(x,y)(Any) — Compute the log beta function</>lchoose(n,k)(Any) — Compute the log binomial coefficient</>length(x)(Any) — Get the length of a vector</>lengths(x)(Any) — Get the lengths of a list</>levels(x)(Any) — Get the levels of a factor</>lfactorial(x)(Any) — Compute the log factorial</>lgamma(x)(Any) — Compute the log gamma function</>log(x,base)(Any) — Compute the logarithm of a vector</>log10(x)(Any) — Compute the base 10 logarithm of a vector</>log1p(x)(Any) — Compute the logarithm of one plus a vector</>log2(x)(Any) — Compute the base-2 logarithm of a vector</>make_names(names,unique)(Any) — Make names for a vector</>make_unique(names)(Any) — Make a vector unique</>match(x,table,nomatch)(Any) — Match elements of a vector</>max_(x,na_rm)(Any) — Compute the maximum of a vector</>max_col(x,ties_method,nested)(Any) — Get the maximum column</>mean(x,na_rm)(Any) — Compute the mean of a vector</>median(x,na_rm)(Any) — Compute the median of a vector</>min_(x,na_rm)(Any) — Compute the minimum of a vector</>mod(x)(Any) — Modulus of complex numbers</>nchar(x,type_,allow_na,keep_na,_na_len)(Any) — Get the number of characters in a string</>ncol(x,nested)(Any) — Get the number of columns</>nlevels(x)(Any) — Get the number of levels of a factor</>nrow(x)(Any) — Get the number of rows</>nzchar(x,keep_na)(Any) — Is the string non-zero length</>order(x,decreasing,na_last)(Any) — Order a vector</>ordered(x,levels,labels,exclude,nmax)(Any) — Create an ordered factor vector</>outer(x,y,fun)(Any) — Outer product of two vectors</>paste(*args,sep,collapse)(Any) — Join a vector into a string</>paste0(*args,collapse)(Any) — Join a vector into a string</>pmax(*args,na_rm)(Any) — Returns the (regular or Parallel) maxima and minima of the input values. </>pmin(*args,na_rm)(Any) — Returns the (regular or Parallel) maxima and minima of the input values. </>prod(x,na_rm)(Any) — Compute the product of a vector</>proportions(x,margin)(Any) — Get the proportion table</>psigamma(x,deriv)(Any) — Compute the psi function</>quantile(x,probs,na_rm,names,type_,digits)(Any) — Compute the quantiles of a vector</>rank(x,na_last,ties_method)(Any) — Rank a numeric vector</>rbinom(n,size,prob)(Any) — Generate random binomial variables</>rcauchy(n,location,scale)(Any) — Generate random Cauchy variables</>rchisq(n,df)(Any) — Generate random chi-squared variables</>re_(x)(Any) — Real part of complex numbers</>rep(x,times,length,each)(Any) — Replicate elements of a vector</>rev(x)(Any) — Reverse a vector</>rexp(n,rate)(Any) — Generate random exponential variables</>rnorm(n,mean,sd)(Any) — Generate random normal variables</>round_(x,digits)(Any) — Round the values of a vector</>row_means(x,na_rm)(Any) — Compute the row means of a matrix</>row_medians(x,na_rm)(Any) — Compute the row medians of a matrix</>row_sds(x,na_rm)(Any) — Compute the row standard deviations of a matrix</>row_sums(x,na_rm)(Any) — Compute the row sums of a matrix</>rownames(x)(Any) — Get the row names</>rpois(n,lambda_)(Any) — Generate random Poisson variables</>runif(n,min,max)(Any) — Generate random uniform variables</>sample(x,size,replace,prob)(Any) — Sample a vector</>scale(x,center,scale_)(Any) — Center and/or scale the data</>sd(x,na_rm)(Any) — Compute the standard deviation of a vector</>seq(from_,to,by,length_out,along_with)(Any) — Generate a sequence</>seq_along(x)(Any) — Generate a sequence along a vector</>seq_len(x)(Any) — Generate a sequence of length x</>set_colnames(x,names,nested)(Any) — Set the column names</>set_levels(x,levels)(Any) — Set the levels of a factor</>set_rownames(x,names)(Any) — Set the row names</>set_seed(seed)(Any) — Set the seed of the random number generator</>setdiff(x,y)(Any) — Get the difference of two vectors</>setequal(x,y)(Any) — Check if two vectors are equal</>sign(x)(Any) — Compute the sign of a vector</>signif(x,digits)(Any) — Round the values of a vector to a given number of significant digits</>sin(x)(Any) — Get the sine</>sinh(x)(Any) — Get the hyperbolic sine</>sinpi(x)(Any) — Get the sine of pi times x</>sort(x,decreasing,na_last)(Any) — Sort a vector</>sprintf(fmt,*args)(Any) — Format a string</>sqrt(x)(Any) — Compute the square root of a vector</>startswith(x,prefix)(Any) — Does x start with prefix</>strsplit(x,split,fixed,perl,use_bytes)(Any) — Split a string</>strtoi(x,base)(Any) — Convert a string to an integer</>sub(pattern,replacement,x,ignore_case,fixed)(Any) — Substitute a pattern</>substr(x,start,stop)(Any) — Get a substring</>substring(x,first,last)(Any) — Get a substring</>sum_(x,na_rm)(Any) — Compute the sum of a vector</>t(x)(Any) — Get the transpose</>table(x,*more,exclude,use_na,dnn,deparse_level)(Any) — Get the table of a vector</>tabulate(bin,nbins)(Any) — Get the table of a vector</>tail(x,n)(Any) — Get the last n rows</>tan(x)(Any) — Get the tangent</>tanh(x)(Any) — Get the hyperbolic tangent</>tanpi(x)(Any) — Get the tangent of pi times x</>tolower(x)(Any) — Convert a string to lower case</>toupper(x)(Any) — Convert a string to upper case</>trigamma(x)(Any) — Compute the trigamma function</>trimws(x,which,whitespace)(Any) — Trim whitespace from a string</>trunc(x)(Any) — Truncate the values of a vector</>union(x,y)(Any) — Get the union of two vectors</>unique(x)(Any) — Get the unique values</>var(x,na_rm,ddof)(Any) — Compute the variance of a vector</>weighted_mean(x,w,na_rm)(Any) — Compute the weighted mean of a vector</>which(x)(Any) — Get the indices of the non-zero values</>which_max(x)(Any) — Get the index of the maximum value</>which_min(x)(Any) — Get the index of the minimum value</>