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\documentclass[preview]{standalone} | |
\begin{document} | |
\[ | |
f(x) = \frac{1}{\sqrt{2\pi\sigma^2}} e^{-\frac{(x - \mu)^2}{2 \sigma^2}} | |
\] | |
\end{document} |
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0.0 | |
10 | |
65.371875 | |
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117.484375 | |
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0.0 | |
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66.890625 | |
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118.112500 | |
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0.0 | |
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68.406250 | |
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118.825000 | |
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0.0 | |
10 | |
69.921875 | |
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119.628125 | |
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0.0 | |
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71.440625 | |
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120.531250 | |
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0.0 | |
10 | |
72.956250 | |
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121.537500 | |
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0.0 | |
10 | |
74.475000 | |
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122.656250 | |
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0.0 | |
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123.896875 | |
30 | |
0.0 | |
10 | |
77.506250 | |
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125.265625 | |
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0.0 | |
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0.0 | |
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0.0 | |
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0.0 | |
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83.575000 | |
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132.125000 | |
30 | |
0.0 | |
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85.090625 | |
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134.206250 | |
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0.0 | |
10 | |
86.609375 | |
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136.437500 | |
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0.0 | |
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88.125000 | |
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138.815625 | |
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0.0 | |
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89.640625 | |
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141.343750 | |
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0.0 | |
10 | |
91.159375 | |
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144.009375 | |
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0.0 | |
10 | |
92.675000 | |
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146.812500 | |
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0.0 | |
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94.190625 | |
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149.737500 | |
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0.0 | |
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95.709375 | |
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152.778125 | |
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0.0 | |
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97.225000 | |
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155.918750 | |
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0.0 | |
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98.743750 | |
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159.143750 | |
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0.0 | |
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100.259375 | |
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162.434375 | |
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0.0 | |
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101.775000 | |
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165.771875 | |
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0.0 | |
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103.293750 | |
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169.131250 | |
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0.0 | |
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104.809375 | |
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172.493750 | |
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0.0 | |
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0.0 | |
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0.0 | |
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116.943750 | |
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198.315625 | |
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0.0 | |
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0.0 | |
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121.493750 | |
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203.112500 | |
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0.0 | |
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0.0 | |
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133.628125 | |
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203.112500 | |
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0.0 | |
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135.146875 | |
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201.809375 | |
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0.0 | |
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136.662500 | |
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200.203125 | |
30 | |
0.0 | |
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138.178125 | |
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198.315625 | |
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0.0 | |
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139.696875 | |
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196.165625 | |
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0.0 | |
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141.212500 | |
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193.775000 | |
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0.0 | |
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142.728125 | |
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191.168750 | |
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0.0 | |
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144.246875 | |
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188.371875 | |
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0.0 | |
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145.762500 | |
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185.412500 | |
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0.0 | |
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147.281250 | |
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182.315625 | |
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0.0 | |
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148.796875 | |
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179.112500 | |
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150.312500 | |
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175.828125 | |
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0.0 | |
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151.831250 | |
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153.346875 | |
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169.131250 | |
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165.771875 | |
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0.0 | |
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156.381250 | |
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157.896875 | |
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0.0 | |
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160.931250 | |
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162.446875 | |
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149.737500 | |
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146.812500 | |
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166.996875 | |
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141.343750 | |
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176.100000 | |
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EOF |
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library(ggplot2) | |
distribution <- dnorm | |
distance <- 3 | |
left <- -distance | |
right <- distance | |
xpred <- c(seq(left, right, length=500)) | |
x <- c(min(xpred), xpred, max(xpred)) | |
y <- c(0, distribution(xpred), 0) | |
plot(x, y, type = "l", axes=FALSE, xlab="", , ylab="") | |
polygon(x, y, col="black") | |
vlines <- seq(left+1, right-1) | |
segments(vlines, 0, y1=(distribution(vlines)), lty =2, col="white") | |
#axis(1,tick = FALSE, line = FALSE, padj = -3.8, col.axis ="white", at=seq(-distance+1, distance-1), labels=c("-2σ", "-σ", "μ", "σ", "2σ")) | |
svg(filename = "normal_svg.svg") | |
save | |
library(ggplot2) | |
distribution <- dlnorm | |
distance <- 3 | |
left <- 0 | |
right <- distance | |
xpred <- c(seq(left, right, length=500)) | |
x <- c(min(xpred), xpred, max(xpred)) | |
y <- c(0, distribution(xpred), 0) | |
plot(x, y, type = "l", axes=FALSE, xlab="", , ylab="") | |
polygon(x, y, col="black") | |
vlines <- c(1, 1.5) | |
segments(vlines, 0, y1=(distribution(vlines)), lty =2, col="white") | |
#axis(1,tick = FALSE, line = FALSE, padj = -3.8, col.axis ="white", at=seq(-distance+1, distance-1), labels=c("-2σ", "-σ", "μ", "σ", "2σ")) | |
svg(filename = "lognormal.svg") | |
save |
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echo(version=version()); | |
// surface() can import images, the pixel values are converted | |
// to grayscale and converted to values between 0 and 100. | |
// The example takes 3 cuts from the height map and displays | |
// those as 3 stacked layers. | |
for (a = [1]) | |
color([a/6 + 0.5, 0, 0]) | |
linear_extrude(height = 2 * a, convexity = 10) | |
projection(cut = true) | |
translate([0, 0, -30 * a]) | |
surface("normal.png", center = true); | |
// Written in 2015 by Torsten Paul <Torsten.Paul@gmx.de> | |
// | |
// To the extent possible under law, the author(s) have dedicated all | |
// copyright and related and neighboring rights to this software to the | |
// public domain worldwide. This software is distributed without any | |
// warranty. | |
// | |
// You should have received a copy of the CC0 Public Domain | |
// Dedication along with this software. | |
// If not, see <http://creativecommons.org/publicdomain/zero/1.0/>. |
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