Sapiosexual - Formed Out Of Two Latin Words Sapien (Wise Or Intelligent) And Sexualis (Sexes). A Person
Sapiosexual - formed out of two Latin words Sapien (Wise or Intelligent) and Sexualis (Sexes). A person who finds intelligence to be the most attractive feature in a human being.
More Posts from Kimduong-lhp-blog and Others
Astronomy seminar at Tartu Observatory 3 PM, 24-May-2017
Indrek Vurm
“Gamma-ray bursts and their emission mechanisms”
Abstract:
“Gamma-ray bursts (GRBs) are the most energetic explosions in the Universe after the Big Bang. They are observed as sudden flashes of gamma rays from random directions in the sky, lasting from seconds to minutes. GRBs are thought to result from cataclysmic events associated with the birth of a compact object (neutron star or a black hole) either in the collapsing core of a massive star or in a NS-NS or NS-BH merger. Despite being discovered almost half a century ago, the mechanism of their emission is still a matter of active debate. I will review our current understanding of the processes at work and will discuss how detailed numerical modelling can place constraints on the physical conditions at the source as well as the GRB environments.”
Presentation (pdf).
Đông phong nhật dạ động giang thành, Nhân tự tiêu điều thảo tự thanh. - 東風晝夜動江城， 人自悲悽草自青。
Nguyễn Du, Thanh minh ngẫu hứng (阮攸, 清明偶興)
Equinoxes: the products of celestial geometry.
“Because Earth is tilted on its axis, there are only two days a year when the sun shines down exactly over the equator, and the day/night line – called the terminator – runs straight from north to south. On these days, day and night are just about equal lengths across the globe.
In the Northern Hemisphere, the March equinox marks the beginning of spring – meaning that our half of Earth is slowly tilting towards the sun, giving us longer days and more sunlight, and moving us out of winter and into spring and summer.” - NASA
An analysis of Pokémon GO created with R. OMG They’re so beautiful!!
“I see nice things here:
The cluster are determined by the type of pokemon.
The algorithm keep the chain evolution side by side. You can see charmander, charmeleon, charizard together.
Put steelix, onix and wailord (the most heavy pokémons) together.”
When you know illusion, you will immediately be free. Freedom from illusion is in itself enlightenment. - Tri huyễn tức ly. Ly huyễn tức giác.
Phật, Kinh Viên Giác (Buddha, The Sutra of Perfect Enlightenment)
Biết nó là giả (huyễn) bèn ly cái khổ. Ly được cái huyễn tức là người giác ngộ.
I need help from Pokémon GO players!! I'm doing a study on the game and will be very grateful if you can take a brief moment to answer this survey. Do feel free to forward it to other PG players.
Thanks a ton in advance!
Lavaan cheat sheet
Lavaan Cheat Sheet
Assumptions
Data is data frame
model is the lavaan model syntax character variable
fit is an object of class lavaan typically returned from functions cfa, sem, growth, and lavaan
m1_fit and m2_fit are used for showing model comparison of lavaan objects.
Documentation tips
Introduction: http://users.ugent.be/~yrosseel/lavaan/lavaanIntroduction.pdf
Basic model commmands: ?cfa ?sem ?lavaan:
Extracting elements: ?inspect
Model fitting
Name Command fit CFA to data cfa(model, data=Data) fit SEM to data sem(model, data=Data) standardised solution sem(model, data=Data, std.ov=TRUE) orthogonal factors cfa(model, data=Data, orthogonal=TRUE)
Matrices
Name Command Factor covariance matrix inspect(fit, "coefficients")$psi Fitted covariance matrix fitted(fit)$cov Observed covariance matrix inspect(fit, 'sampstat')$cov Residual covariance matrix resid(fit)$cov Factor correlation matrix cov2cor(inspect(fit, "coefficients")$psi) or use covariance command with standardised solution e.g., cfa(..., std.ov=TRUE)
Fit Measures
Name Command Fit measures: fitMeasures(fit) Specific fit measures e.g.: fitMeasures(fit)[c('chisq', 'df', 'pvalue', 'cfi', 'rmsea', 'srmr')]
Parameters
Name Command Parameter information parTable(fit) Standardised estimates standardizedSolution(fit) or summary(fit, standardized=TRUE)
R-squared | inspect(fit, 'r2')
Compare models
Name Command Compare fit measures cbind(m1=inspect(m1_fit, 'fit.measures'), m2=inspect(m2_fit, 'fit.measures')) Chi-square difference test anova(m1_fit, m2_fit)
Model improvement
Name Command Modification indices mod_ind <- modificationindices(fit) 10 greatest head(mod_ind[order(mod_ind$mi, decreasing=TRUE), ], 10) mi > 5 subset(mod_ind[order(mod_ind$mi, decreasing=TRUE), ], mi > 5)
