From c9b4481788b76e4ac7aa2645a15a8d7f305bc1ae Mon Sep 17 00:00:00 2001 From: Juan Pablo Date: Fri, 6 Dec 2024 14:41:01 -0500 Subject: [PATCH] built site --- .Rhistory | 512 ------------------- .github/.gitignore | 1 - README.Rmd | 8 +- README.md | 13 +- _pkgdown.yml | 8 +- man/seq_smooth.Rd | 2 +- pkgdown/favicon/apple-touch-icon.png | Bin 0 -> 10084 bytes pkgdown/favicon/favicon-96x96.png | Bin 0 -> 3465 bytes pkgdown/favicon/favicon.ico | Bin 0 -> 15086 bytes pkgdown/favicon/favicon.svg | 3 + pkgdown/favicon/site.webmanifest | 21 + pkgdown/favicon/web-app-manifest-192x192.png | Bin 0 -> 11357 bytes pkgdown/favicon/web-app-manifest-512x512.png | Bin 0 -> 66644 bytes 13 files changed, 40 insertions(+), 528 deletions(-) delete mode 100644 .Rhistory delete mode 100644 .github/.gitignore create mode 100644 pkgdown/favicon/apple-touch-icon.png create mode 100644 pkgdown/favicon/favicon-96x96.png create mode 100644 pkgdown/favicon/favicon.ico create mode 100644 pkgdown/favicon/favicon.svg create mode 100644 pkgdown/favicon/site.webmanifest create mode 100644 pkgdown/favicon/web-app-manifest-192x192.png create mode 100644 pkgdown/favicon/web-app-manifest-512x512.png diff --git a/.Rhistory b/.Rhistory deleted file mode 100644 index 9c8ce8a..0000000 --- a/.Rhistory +++ /dev/null @@ -1,512 +0,0 @@ -} -if(type == "step" & is.null(step_count)){ -warning("Step count set to 'NULL'. Using default steps = 4") -step_count = 4 -smooth_seq <- from + (to - from)*round(step_count*t) -return(smooth_seq) -} else{ -smooth_seq <- from + (to - from)*round(step_count*t) -return(smooth_seq) -} -if(type == "step" && !is.null(ease)){ -warning("Step function is not continuous and cannot be smoothed using an easing function.\nUsing default steps = 4") -if(is.null(step_count)){step_count = 4 -smooth_seq <- from + (to - from)*round(step_count*t) -return(smooth_seq) -} else { -smooth_seq <- from + (to - from)*round(step_count*t) -return(smooth_seq) -} -} -# What type of sequence and direction to compute -smooth_fashion <- join_char(type,"_",ease) -smooth_fashion <- switch( -smooth_fashion, -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -# Notice how we use base '2' and exponentiate as -# polynomial increases by n. You can use any base you -# like, I chose 2 because that's what I've seen others -# do, and it's the standard as far as I know. -quad_in = t^2, -quad_out = 1-(1 - t)^2, -quad_in_out = ifelse(t < 0.5, -2*t^2, -1 - 0.5*(-2*t+2)^2), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -cubic_in = t^3, -cubic_out = 1 - (1-t)^3, -cubic_in_out = ifelse(t < 0.5, -4*t^3, -1- 0.5*(-2*t+2)^3), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -quart_in = t^4, -quart_out = 1 - (1-t)^4, -quart_in_out = ifelse(t < 0.5, -8*t^4, -1 - 0.5*(-2*t+2)^4), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -quint_in = t^5, -quint_out = 1 - (1-t)^5, -quint_in_out = ifelse(t < 0.5, -16*t^5, -1 - 0.5*(-2*t+2)^5), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -exp_in = 2^(10*t - 10), -exp_out = 1 - 2^(-10*t), -exp_in_out = ifelse(t == 0,0, -ifelse(t == 1,1, -ifelse(t < 0.5, -2^(20*t-10)/2, -(2 - 2^(-20*t+10))/2 -))), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -circle_in = 1 - sqrt(1-t)^2, -circle_out = sqrt(1 - (t - 1)^2), -circle_in_out = ifelse(t < 0.5, -(1 - sqrt(1 - (2 * t)^2)) / 2, -0.5 * (sqrt(1 - (-2 * t + 2)^2) + 1)), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -back_in = 2.70158*t^3 - 1.70158*t^2, -back_out = 1 + 2.70158* (t-1)^3 + 1.70158*(t-1)^2, -back_in_out = { -k <- 1.70158 -k2 <- k * 1.525 -ifelse(t < 0.5, -(2*t)^2 * ((k2 + 1) * 2 * t - k2) / 2, -((2*t-2)^2 * ((k2 + 1) * (t * 2 - 2) + k2) + 2) / 2 -) -}, -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -elastic_in = ifelse(t == 0,0, -ifelse(t == 1,1 --(2^(10*t-10))*sin((t*10-10.75)*2*pi/3)) -), -elastic_out = ifelse(t == 0,0, -ifelse(t ==1,1, -2^(-10*t)*sin((t*10-0.75)*2*pi/3)+1) -), -elastic_in_out = ifelse( -t == 0, 0, -ifelse(t == 1, 1, -ifelse(t < 0.5, --(2^( 20*t - 10) * sin((20 * t - 11.125) * 2 * pi/4.5)) / 2, -(2^(-20*t + 10) * sin((20 * t - 11.125) * 2 * pi/4.5)) / 2 + 1 -)) -), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -sine_in = 1 - cos((t*pi)/2), -sine_out = sin((t*pi)/2), -sine_in_out = -(cos(t*pi)-1)/2, -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -bounce_in = 1 - ifelse((1 - t) < 0.3636, -7.5625 * (1 - t)^2, -ifelse((1 - t) < 0.7273, -7.5625 * ((1 - t) - 1.5 / 2.75)^2 + 0.75, -ifelse((1 - t) < 0.9091, -7.5625 * ((1 - t) - 2.25 / 2.75)^2 + 0.9375, -7.5625 * ((1 - t) - 2.625 / 2.75)^2 + 0.984375)) -), -bounce_out = ifelse(t < 0.3636, -7.5625 * t^2, -ifelse(t < 0.7273, -7.5625 * (t - 1.5 / 2.75)^2 + 0.75, -ifelse(t < 0.9091, -7.5625 * (t - 2.25 / 2.75)^2 + 0.9375, -7.5625 * (t - 2.625 / 2.75)^2 + 0.984375)) -) -, -bounce_in_out = ifelse(t < 0.5, -0.5 * ifelse(t * 2 < 0.3636, -7.5625 * (2 * t)^2, -ifelse(t * 2 < 0.7273, -7.5625 * ((2 * t) - 1.5 / 2.75)^2 + 0.75, -ifelse(t * 2 < 0.9091, -7.5625 * ((2 * t) - 2.25 / 2.75)^2 + 0.9375, -7.5625 * ((2 * t) - 2.625 / 2.75)^2 + 0.984375))), -0.5 * ifelse((2 * t - 1) < 0.3636, -7.5625 * (2 * t - 1)^2, -ifelse((2 * t - 1) < 0.7273, -7.5625 * ((2 * t - 1) - 1.5 / 2.75)^2 + 0.75, -ifelse((2 * t - 1) < 0.9091, -7.5625 * ((2 * t - 1) - 2.25 / 2.75)^2 + 0.9375, -7.5625 * ((2 * t - 1) - 2.625 / 2.75)^2 + 0.984375))) + 0.5 -), -stop("The specified ease type doesn't exist:", type) -) -smooth_seq <- from + smooth_fashion * (to-from) -return(smooth_seq) -} -test <- seq_smooth(1,50,100,type = "bounce","in") -test <- seq_smooth(1,50,100,type = "bounce",ease = "in") -t <- seq(0,1,length.out = 100) -plot(t,test,type = "l") -test <- seq_smooth(1,50,100,type = "quad",ease = "in") -seq_smooth <- function(from = 1, to = 1, -n = 100, -type = "linear", -step_count = NULL, -ease = NULL){ -stopifnot( -is.character(type), -is.character(ease) -) -type <- match.arg(type,c("linear","quad","cubic","quart", -"quint","exp","circle","back", -"elastic","sine","bounce","step")) -# `in` curves it at the start -#`out` will curve the line at the end -#`in_out` will curve the line at both ends -# Keep in mind there are n - 1 critical points -# as polynomials of size n increases. -ease <- match.arg(ease,c("in","out","in_out")) -# Compute normalized time (t) as the y-component -# Time could be any range, but it complicates comparison if -# time range is not bounded. However, you can always -# normalize it to be bounded from [0,1] -t <- seq(0,1,length.out = n) -# Default sequence -if(type == "linear") { -seq <- from + t*(to-from) -return(seq) -} -# Issue warning if 'eae' not set to NULL when type is linear -if (type != "linear" && type != "step") { -ease <- match.arg(ease, c("in", "out", "in_out")) -} -# Compute normalized time -t <- seq(0, 1, length.out = n) -# Linear sequence -if (type == "linear") { -if (!is.null(ease)) { -warning("No easing applied to linear sequence.") -} -seq <- from + t * (to - from) -return(seq) -} -# Step sequence -if (type == "step") { -if (is.null(step_count)) { -warning("Step count set to 'NULL'. Using default steps = 4.") -step_count <- 4 -} -if (!is.null(ease)) { -warning("Step function is not continuous and cannot be smoothed using an easing function.") -} -smooth_seq <- from + (to - from) * round(step_count * t) -return(smooth_seq) -} -# What type of sequence and direction to compute -smooth_fashion <- join_char(type,"_",ease) -smooth_fashion <- switch( -smooth_fashion, -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -# Notice how we use base '2' and exponentiate as -# polynomial increases by n. You can use any base you -# like, I chose 2 because that's what I've seen others -# do, and it's the standard as far as I know. -quad_in = t^2, -quad_out = 1-(1 - t)^2, -quad_in_out = ifelse(t < 0.5, -2*t^2, -1 - 0.5*(-2*t+2)^2), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -cubic_in = t^3, -cubic_out = 1 - (1-t)^3, -cubic_in_out = ifelse(t < 0.5, -4*t^3, -1- 0.5*(-2*t+2)^3), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -quart_in = t^4, -quart_out = 1 - (1-t)^4, -quart_in_out = ifelse(t < 0.5, -8*t^4, -1 - 0.5*(-2*t+2)^4), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -quint_in = t^5, -quint_out = 1 - (1-t)^5, -quint_in_out = ifelse(t < 0.5, -16*t^5, -1 - 0.5*(-2*t+2)^5), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -exp_in = 2^(10*t - 10), -exp_out = 1 - 2^(-10*t), -exp_in_out = ifelse(t == 0,0, -ifelse(t == 1,1, -ifelse(t < 0.5, -2^(20*t-10)/2, -(2 - 2^(-20*t+10))/2 -))), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -circle_in = 1 - sqrt(1-t)^2, -circle_out = sqrt(1 - (t - 1)^2), -circle_in_out = ifelse(t < 0.5, -(1 - sqrt(1 - (2 * t)^2)) / 2, -0.5 * (sqrt(1 - (-2 * t + 2)^2) + 1)), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -back_in = 2.70158*t^3 - 1.70158*t^2, -back_out = 1 + 2.70158* (t-1)^3 + 1.70158*(t-1)^2, -back_in_out = { -k <- 1.70158 -k2 <- k * 1.525 -ifelse(t < 0.5, -(2*t)^2 * ((k2 + 1) * 2 * t - k2) / 2, -((2*t-2)^2 * ((k2 + 1) * (t * 2 - 2) + k2) + 2) / 2 -) -}, -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -elastic_in = ifelse(t == 0,0, -ifelse(t == 1,1 --(2^(10*t-10))*sin((t*10-10.75)*2*pi/3)) -), -elastic_out = ifelse(t == 0,0, -ifelse(t ==1,1, -2^(-10*t)*sin((t*10-0.75)*2*pi/3)+1) -), -elastic_in_out = ifelse( -t == 0, 0, -ifelse(t == 1, 1, -ifelse(t < 0.5, --(2^( 20*t - 10) * sin((20 * t - 11.125) * 2 * pi/4.5)) / 2, -(2^(-20*t + 10) * sin((20 * t - 11.125) * 2 * pi/4.5)) / 2 + 1 -)) -), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -sine_in = 1 - cos((t*pi)/2), -sine_out = sin((t*pi)/2), -sine_in_out = -(cos(t*pi)-1)/2, -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -bounce_in = 1 - ifelse((1 - t) < 0.3636, -7.5625 * (1 - t)^2, -ifelse((1 - t) < 0.7273, -7.5625 * ((1 - t) - 1.5 / 2.75)^2 + 0.75, -ifelse((1 - t) < 0.9091, -7.5625 * ((1 - t) - 2.25 / 2.75)^2 + 0.9375, -7.5625 * ((1 - t) - 2.625 / 2.75)^2 + 0.984375)) -), -bounce_out = ifelse(t < 0.3636, -7.5625 * t^2, -ifelse(t < 0.7273, -7.5625 * (t - 1.5 / 2.75)^2 + 0.75, -ifelse(t < 0.9091, -7.5625 * (t - 2.25 / 2.75)^2 + 0.9375, -7.5625 * (t - 2.625 / 2.75)^2 + 0.984375)) -) -, -bounce_in_out = ifelse(t < 0.5, -0.5 * ifelse(t * 2 < 0.3636, -7.5625 * (2 * t)^2, -ifelse(t * 2 < 0.7273, -7.5625 * ((2 * t) - 1.5 / 2.75)^2 + 0.75, -ifelse(t * 2 < 0.9091, -7.5625 * ((2 * t) - 2.25 / 2.75)^2 + 0.9375, -7.5625 * ((2 * t) - 2.625 / 2.75)^2 + 0.984375))), -0.5 * ifelse((2 * t - 1) < 0.3636, -7.5625 * (2 * t - 1)^2, -ifelse((2 * t - 1) < 0.7273, -7.5625 * ((2 * t - 1) - 1.5 / 2.75)^2 + 0.75, -ifelse((2 * t - 1) < 0.9091, -7.5625 * ((2 * t - 1) - 2.25 / 2.75)^2 + 0.9375, -7.5625 * ((2 * t - 1) - 2.625 / 2.75)^2 + 0.984375))) + 0.5 -), -stop("The specified ease type doesn't exist:", type) -) -smooth_seq <- from + smooth_fashion * (to-from) -return(smooth_seq) -} -test <- seq_smooth(1,50,100,type = "quad",ease = "in") -test <- seq_smooth(1,50,100,type = "bounce",ease = "in") -plot(t,test,type = "l") -test <- seq_smooth(1,50,100,type = "bounce",ease = "out") -plot(t,test,type = "l") -test <- seq_smooth(1,50,100,type = "bounce",ease = "in_out") -plot(t,test,type = "l") -plot(t) -plot(test) -test <- seq_smooth(1,50,100,type = "circle",ease = "in_out") -plot(t,test,type = "l") -test <- seq_smooth(1,50,100,type = "circle",ease = "in") -plot(t,test,type = "l") -seq_smooth <- function(from = 1, to = 1, -n = 100, -type = "linear", -step_count = NULL, -ease = NULL){ -stopifnot( -is.character(type), -is.character(ease) -) -type <- match.arg(type,c("linear","quad","cubic","quart", -"quint","exp","circle","back", -"elastic","sine","bounce","step")) -# `in` curves it at the start -#`out` will curve the line at the end -#`in_out` will curve the line at both ends -# Keep in mind there are n - 1 critical points -# as polynomials of size n increases. -ease <- match.arg(ease,c("in","out","in_out")) -# Compute normalized time (t) as the y-component -# Time could be any range, but it complicates comparison if -# time range is not bounded. However, you can always -# normalize it to be bounded from [0,1] -t <- seq(0,1,length.out = n) -# Default sequence -if(type == "linear") { -seq <- from + t*(to-from) -return(seq) -} -# Issue warning if 'eae' not set to NULL when type is linear -if (type != "linear" && type != "step") { -ease <- match.arg(ease, c("in", "out", "in_out")) -} -# Compute normalized time -t <- seq(0, 1, length.out = n) -# Linear sequence -if (type == "linear") { -if (!is.null(ease)) { -warning("No easing applied to linear sequence.") -} -seq <- from + t * (to - from) -return(seq) -} -# Step sequence -if (type == "step") { -if (is.null(step_count)) { -warning("Step count set to 'NULL'. Using default steps = 4.") -step_count <- 4 -} -if (!is.null(ease)) { -warning("Step function is not continuous and cannot be smoothed using an easing function.") -} -smooth_seq <- from + (to - from) * round(step_count * t) -return(smooth_seq) -} -# What type of sequence and direction to compute -smooth_fashion <- join_char(type,"_",ease) -smooth_fashion <- switch( -smooth_fashion, -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -# Notice how we use base '2' and exponentiate as -# polynomial increases by n. You can use any base you -# like, I chose 2 because that's what I've seen others -# do, and it's the standard as far as I know. -quad_in = t^2, -quad_out = 1-(1 - t)^2, -quad_in_out = ifelse(t < 0.5, -2*t^2, -1 - 0.5*(-2*t+2)^2), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -cubic_in = t^3, -cubic_out = 1 - (1-t)^3, -cubic_in_out = ifelse(t < 0.5, -4*t^3, -1- 0.5*(-2*t+2)^3), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -quart_in = t^4, -quart_out = 1 - (1-t)^4, -quart_in_out = ifelse(t < 0.5, -8*t^4, -1 - 0.5*(-2*t+2)^4), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -quint_in = t^5, -quint_out = 1 - (1-t)^5, -quint_in_out = ifelse(t < 0.5, -16*t^5, -1 - 0.5*(-2*t+2)^5), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -exp_in = 2^(10*t - 10), -exp_out = 1 - 2^(-10*t), -exp_in_out = ifelse(t == 0,0, -ifelse(t == 1,1, -ifelse(t < 0.5, -2^(20*t-10)/2, -(2 - 2^(-20*t+10))/2 -))), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -circle_in = 1 - sqrt(1-t^2), -circle_out = sqrt(1 - (t - 1)^2), -circle_in_out = ifelse(t < 0.5, -(1 - sqrt(1 - (2 * t)^2)) / 2, -0.5 * (sqrt(1 - (-2 * t + 2)^2) + 1)), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -back_in = 2.70158*t^3 - 1.70158*t^2, -back_out = 1 + 2.70158* (t-1)^3 + 1.70158*(t-1)^2, -back_in_out = { -k <- 1.70158 -k2 <- k * 1.525 -ifelse(t < 0.5, -(2*t)^2 * ((k2 + 1) * 2 * t - k2) / 2, -((2*t-2)^2 * ((k2 + 1) * (t * 2 - 2) + k2) + 2) / 2 -) -}, -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -elastic_in = ifelse(t == 0,0, -ifelse(t == 1,1 --(2^(10*t-10))*sin((t*10-10.75)*2*pi/3)) -), -elastic_out = ifelse(t == 0,0, -ifelse(t ==1,1, -2^(-10*t)*sin((t*10-0.75)*2*pi/3)+1) -), -elastic_in_out = ifelse( -t == 0, 0, -ifelse(t == 1, 1, -ifelse(t < 0.5, --(2^( 20*t - 10) * sin((20 * t - 11.125) * 2 * pi/4.5)) / 2, -(2^(-20*t + 10) * sin((20 * t - 11.125) * 2 * pi/4.5)) / 2 + 1 -)) -), -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -sine_in = 1 - cos((t*pi)/2), -sine_out = sin((t*pi)/2), -sine_in_out = -(cos(t*pi)-1)/2, -#---- --- ---- --- ---- --- ---- --- ----- --- ----# -bounce_in = 1 - ifelse((1 - t) < 0.3636, -7.5625 * (1 - t)^2, -ifelse((1 - t) < 0.7273, -7.5625 * ((1 - t) - 1.5 / 2.75)^2 + 0.75, -ifelse((1 - t) < 0.9091, -7.5625 * ((1 - t) - 2.25 / 2.75)^2 + 0.9375, -7.5625 * ((1 - t) - 2.625 / 2.75)^2 + 0.984375)) -), -bounce_out = ifelse(t < 0.3636, -7.5625 * t^2, -ifelse(t < 0.7273, -7.5625 * (t - 1.5 / 2.75)^2 + 0.75, -ifelse(t < 0.9091, -7.5625 * (t - 2.25 / 2.75)^2 + 0.9375, -7.5625 * (t - 2.625 / 2.75)^2 + 0.984375)) -) -, -bounce_in_out = ifelse(t < 0.5, -0.5 * ifelse(t * 2 < 0.3636, -7.5625 * (2 * t)^2, -ifelse(t * 2 < 0.7273, -7.5625 * ((2 * t) - 1.5 / 2.75)^2 + 0.75, -ifelse(t * 2 < 0.9091, -7.5625 * ((2 * t) - 2.25 / 2.75)^2 + 0.9375, -7.5625 * ((2 * t) - 2.625 / 2.75)^2 + 0.984375))), -0.5 * ifelse((2 * t - 1) < 0.3636, -7.5625 * (2 * t - 1)^2, -ifelse((2 * t - 1) < 0.7273, -7.5625 * ((2 * t - 1) - 1.5 / 2.75)^2 + 0.75, -ifelse((2 * t - 1) < 0.9091, -7.5625 * ((2 * t - 1) - 2.25 / 2.75)^2 + 0.9375, -7.5625 * ((2 * t - 1) - 2.625 / 2.75)^2 + 0.984375))) + 0.5 -), -stop("The specified ease type doesn't exist:", type) -) -smooth_seq <- from + smooth_fashion * (to-from) -return(smooth_seq) -} -test <- seq_smooth(1,50,100,type = "circle",ease = "in") -plot(t,test,type = "l") -test <- seq_smooth(1,50,100,type = "quart",ease = "in") -plot(t,test,type = "l") -test <- seq_smooth(1,50,100,type = "quart",ease = "in_out") -plot(t,test,type = "l") -test <- seq_smooth(1,50,100,type = "step",ease = "in_out") -plot(t,test,type = "l") -plot(test) -test <- seq_smooth(1,50,100,type = "sine",ease = "in_out") -plot(test) -plot(t,test,type = "l") diff --git a/.github/.gitignore b/.github/.gitignore deleted file mode 100644 index 2d19fc7..0000000 --- a/.github/.gitignore +++ /dev/null @@ -1 +0,0 @@ -*.html diff --git a/README.Rmd b/README.Rmd index 60ade82..78e2e4d 100644 --- a/README.Rmd +++ b/README.Rmd @@ -9,13 +9,13 @@ knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", - out.width = "85%" + out.width = "100%" ) #library(sequentially) ``` -# sequentially +# sequentially @@ -28,14 +28,14 @@ coverage](https://codecov.io/gh/jpmonteagudo28/sequentially/graph/badge.svg)](ht This package is born out of curiosity rather than necessity. `sequentially` creates non-linear and linear numeric sequences. By using non-linear interpolation the user can animate their data -in a way that is more visually pleasing than uniform, linear interpolation. The functions in this package represent a break from the **essential** but *boring* `seq()` family of functions–I wanted to plot numeric sequences could be used in data visualization, motion animation, frame interpolation, UI/UX design, population dynamics, economics and finance. +in a way that is more visually pleasing than uniform, linear interpolation. The functions in this package represent a break from the **essential** but *boring* `seq()` family of functions–I wanted to plot numeric sequences that looked different and could be used in data visualization, motion animation, frame interpolation, UI/UX design, population dynamics, or other fields. ## Installation You can install the development version of sequentially like so: ``` r -devtools::install_github("sequentially") +devtools::install_github("jpmonteagudo28/sequentially") ``` or download it from CRAN: diff --git a/README.md b/README.md index 4e28e7d..38abd55 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ -# sequentially +# sequentially @@ -19,15 +19,16 @@ non-linear interpolation the user can animate their data in a way that is more visually pleasing than uniform, linear interpolation. The functions in this package represent a break from the **essential** but *boring* `seq()` family of functions–I wanted to plot numeric sequences -could be used in data visualization, motion animation, frame -interpolation, UI/UX design, population dynamics, economics and finance. +that looked different and could be used in data visualization, motion +animation, frame interpolation, UI/UX design, population dynamics, or +other fields. ## Installation You can install the development version of sequentially like so: ``` r -devtools::install_github("sequentially") +devtools::install_github("jpmonteagudo28/sequentially") ``` or download it from CRAN: @@ -55,7 +56,7 @@ library(sequentially) mtext("Linear Sequence",3,cex = 1.3, family = "serif") ``` - + ``` r @@ -71,7 +72,7 @@ library(sequentially) mtext("Ease-out Elastic Sequence",3,cex = 1.3, family = "serif") ``` - + What is special about using `README.Rmd` instead of just `README.md`? You can include R chunks like so: diff --git a/_pkgdown.yml b/_pkgdown.yml index 73c7560..287fb31 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -3,10 +3,10 @@ url: https://sequentially.jpmonteagudo.com template: bootstrap: 5 bslib: - bg: "#5697BF" - fg: "#035949" - primary: "#53075B" - base_font: {google: "Libre Franklin Light"} + bg: "#D3D6D9" + fg: "#172E73" + primary: "#D95B66" + base_font: {google: "Libre Franklin"} heading_font: {google: "Montserrat Alternates"} code_font: {google: "Fira Code"} theme: a11y-light diff --git a/man/seq_smooth.Rd b/man/seq_smooth.Rd index 17b4e9b..2a6a934 100644 --- a/man/seq_smooth.Rd +++ b/man/seq_smooth.Rd @@ -22,7 +22,7 @@ seq_smooth( \item{type}{A character string indicating the type of smoothing to apply. Available options include \code{"linear"}, \code{"quad"}, \code{"cubic"}, \code{"quart"}, \code{"quint"}, \code{"exp"}, \code{"circle"}, \code{"back"}, \code{"elastic"}, \code{"sine"}, \code{"bounce"}, and \code{"step"}. Default is \code{"linear"}.} -\item{step_count}{An integer specifying the number of discrete steps for the \code{"step"} type. If \code{NULL}, defaults to 4.} +\item{step_count}{An integer specifying the number of discrete steps for the \code{"step"} type. If \code{NULL}, defaults to 4.The number of steps cannot exceed 'n'.} \item{ease}{A character string indicating the easing direction to apply. Available options are \code{"in"} (smooth transition at the start), \code{"out"} (smooth transition at the end), and \code{"in_out"} (smooth transition at both start and end). Required for non-linear types. 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