The symbols used in the help pages and vignettes of dmai, with their meaning and the argument or result component that holds them. The notation follows one rule throughout: scalars are upper-case letters in normal face (\(P\), \(R\)), indices lower-case italic (\(i, j\)), vectors lower-case bold (\(\mathbf{y}\), \(\boldsymbol{\beta}\)) and matrices upper-case bold (\(\mathbf{X}\), \(\boldsymbol{\Sigma}\)).
Usage
dmai_notation(format = c("table", "path", "tex"))See also
Other dmai utilities:
dmai_reference(),
dmai_save(),
dmai_theme()
Author
Muhammad Yaseen (myaseen208@gmail.com)
Examples
dmai_notation(
format = c("table", "path", "tex")[1]
)
#> symbol text kind
#> <char> <char> <char>
#> 1: n n scalar
#> 2: T T scalar
#> 3: i, j i j index
#> 4: t t index
#> 5: x_{it} x_it scalar
#> 6: r_{it} r_it scalar
#> 7: R_t R_t scalar
#> 8: \\pi_{it} pi_it scalar
#> 9: s_{it} s_it scalar
#> 10: \\bar{s}_{it} sbar_it scalar
#> 11: \\mathbf{x}_t x_t vector
#> 12: \\boldsymbol{\\pi}_t pi_t vector
#> 13: \\mathbf{s}_t s_t vector
#> 14: \\mathbf{X} X matrix
#> 15: Q_t Q_t scalar
#> 16: V_t V_t scalar
#> 17: E_t E_t scalar
#> 18: P_t P_t scalar
#> 19: \\kappa_t kappa_t scalar
#> 20: K_t K_t scalar
#> 21: \\Delta Delta operator
#> symbol text kind
#> <char> <char> <char>
#> meaning
#> <char>
#> 1: number of components
#> 2: number of dates
#> 3: components
#> 4: dates
#> 5: quantity of component i at date t
#> 6: rate of return of component i at date t
#> 7: benchmark rate at date t
#> 8: user cost of component i: (R_t - r_it) / (1 + R_t)
#> 9: share of component i in the expenditure on monetary services
#> 10: average of the shares at t - 1 and t
#> 11: quantities of the components at date t
#> 12: user costs at date t
#> 13: expenditure shares at date t
#> 14: T x n matrix of quantities (dates in rows)
#> 15: index of the aggregate at date t (base at the first date)
#> 16: aggregate in the units of x (equal to the simple sum at the first date)
#> 17: expenditure on monetary services: sum_i pi_it x_it
#> 18: dual user-cost price index: E_t / V_t
#> 19: Divisia mean of the growth of the components
#> 20: Divisia variance of the growth of the components
#> 21: first difference over dates
#> meaning
#> <char>
#> argument
#> <char>
#> 1: x
#> 2: .data
#> 3:
#> 4: date
#> 5: x
#> 6: r
#> 7: benchmark
#> 8: user_cost
#> 9:
#> 10:
#> 11: x
#> 12: user_cost
#> 13:
#> 14: x
#> 15: base
#> 16:
#> 17:
#> 18:
#> 19:
#> 20:
#> 21:
#> argument
#> <char>