Numerics

library(textab)

Basic numeric row:

vec <- c(1.0, 1.01, 1.001)
TexRow(vec)
#> % created using textab on Tue Apr 25 07:41:51 2023
#> \begin{tabular}{rrr}
#> 1.000 & 1.010 & 1.001 \\
#> \end{tabular}

1. Rounding

Numeric row rounded to the second decimal place:

vec <- c(1.0, 1.01, 1.001)
TexRow(vec, dec = 2)
#> % created using textab on Tue Apr 25 07:41:51 2023
#> \begin{tabular}{rrr}
#> 1.00 & 1.01 & 1.00 \\
#> \end{tabular}

Entry-specific rounding:

vec <- c(1.0, 1.01, 1.001)
TexRow(vec, dec = c(2,4,6))
#> % created using textab on Tue Apr 25 07:41:51 2023
#> \begin{tabular}{rrr}
#> 1.00 & 1.0100 & 1.001000 \\
#> \end{tabular}

2. Percentage

Numeric row where all numbers are percentages:

vec <- c(20,30,40)
TexRow(vec, dec = 0, percentage = TRUE)
#> % created using textab on Tue Apr 25 07:41:51 2023
#> \begin{tabular}{rrr}
#> 20\% & 30\% & 40\% \\
#> \end{tabular}

Only some entries are percentages:

vec <- c(2.4344, 40.12)
TexRow(vec, dec = c(2,1), percentage = c(FALSE, TRUE))
#> % created using textab on Tue Apr 25 07:41:51 2023
#> \begin{tabular}{rr}
#> 2.43 & 40.1\% \\
#> \end{tabular}

3. Dollar Sign

Numeric row where all numbers are dollars:

vec <- c(20.32,30.67,40.98)
TexRow(vec, dec = 2, dollar = TRUE)
#> % created using textab on Tue Apr 25 07:41:51 2023
#> \begin{tabular}{rrr}
#> \$20.32 & \$30.67 & \$40.98 \\
#> \end{tabular}

Only some entries are in dollars:

vec <- c(2.4344, 40.12)
TexRow(vec, dec = c(2,1), percentage = c(FALSE, TRUE), dollar = c(TRUE, FALSE))
#> % created using textab on Tue Apr 25 07:41:51 2023
#> \begin{tabular}{rr}
#> \$2.43 & 40.1\% \\
#> \end{tabular}

4. Standard Error

Numeric row where all numbers are standard errors:

vec <- c(20.32,30.67,40.98)
TexRow(vec, dec = 2, se = TRUE)
#> % created using textab on Tue Apr 25 07:41:51 2023
#> \begin{tabular}{rrr}
#> (20.32) & (30.67) & (40.98) \\
#> \end{tabular}

Only some entries are standard errors:

vec <- c(2.4344, 0.3815)
TexRow(vec, dec = 3, se = c(FALSE, TRUE))
#> % created using textab on Tue Apr 25 07:41:51 2023
#> \begin{tabular}{rr}
#> 2.434 & (0.382) \\
#> \end{tabular}

5. p-values

Infer p-value from numeric vector:

vec <- c(1,2,3)
TexRow(vec, dec = 2, pvalues = c(0.09, 0.04, 0.009))
#> % created using textab on Tue Apr 25 07:41:51 2023
#> \begin{tabular}{rrr}
#> 1.00* & 2.00** & 3.00*** \\
#> \end{tabular}