Description Usage Arguments Details Value References Examples
Given a convenience sample and a reference sample, computes estimates on the propensity to participate in the convenience sample based on classification models to be selected by the user.
1 2 3 4 5 6 7 8 9 10 |
convenience_sample |
Data frame containing the non-probabilistic sample. |
reference_sample |
Data frame containing the probabilistic sample. |
covariates |
String vector specifying the common variables to use for training. |
algorithm |
A string specifying which classification or regression model to use (same as caret's method). |
smooth |
A logical value; if TRUE, propensity estimates pi_i are smoothed applying the formula (1000*pi_i + 0.5)/1001 |
proc |
A string or vector of strings specifying if any of the data preprocessing techniques available in train function from 'caret' package should be applied to data prior to the propensity estimation. By default, its value is NULL and no preprocessing is applied. |
trControl |
A trainControl specifying the computational nuances of the train function. |
... |
Further parameters to be passed to the train function. |
Training of the propensity estimation models is done via the 'caret' package. The algorithm specified in algorithm
must match one of the names in the list of algorithms supported by 'caret'. Case weights are used to balance classes (for models that accept them).
The smoothing formula for propensities avoids mathematical irregularities in the calculation of sample weight when an estimated propensity is 0 or 1. Further details can be found in Buskirk and Kolenikov (2015).
A list containing 'convenience' propensities and 'reference' propensities.
Buskirk, T. D., & Kolenikov, S. (2015). Finding respondents in the forest: A comparison of logistic regression and random forest models for response propensity weighting and stratification. Survey Methods: Insights from the Field, 17.
1 2 3 | #Simple example with default parameters
covariates = c("education_primaria", "education_secundaria")
propensities(sampleNP, sampleP, covariates)
|
Loading required package: lattice
Loading required package: ggplot2
$convenience
[1] 0.4772957 0.5490534 0.4859813 0.4772957 0.4859813 0.4772957 0.5490534
[8] 0.4859813 0.4859813 0.5490534 0.4859813 0.5490534 0.4772957 0.5490534
[15] 0.5490534 0.5490534 0.4772957 0.4772957 0.5490534 0.4772957 0.5490534
[22] 0.5490534 0.5490534 0.5490534 0.5490534 0.4859813 0.4859813 0.4772957
[29] 0.4859813 0.5490534 0.4772957 0.4772957 0.4772957 0.4772957 0.4772957
[36] 0.5490534 0.4772957 0.4859813 0.5490534 0.4772957 0.4772957 0.5490534
[43] 0.5490534 0.5490534 0.5490534 0.4772957 0.4772957 0.4859813 0.5490534
[50] 0.5490534 0.5490534 0.4772957 0.5490534 0.4859813 0.4772957 0.5490534
[57] 0.4772957 0.4772957 0.5490534 0.4772957 0.4772957 0.4772957 0.5490534
[64] 0.4772957 0.4772957 0.4772957 0.4859813 0.5490534 0.4772957 0.5490534
[71] 0.4772957 0.4772957 0.4772957 0.5490534 0.5490534 0.4772957 0.4859813
[78] 0.4772957 0.4859813 0.5490534 0.4772957 0.4859813 0.5490534 0.4772957
[85] 0.4859813 0.4772957 0.4859813 0.5490534 0.4772957 0.4772957 0.4772957
[92] 0.4772957 0.5490534 0.4772957 0.5490534 0.4772957 0.4772957 0.5490534
[99] 0.4772957 0.5490534 0.5490534 0.4772957 0.4859813 0.4772957 0.4772957
[106] 0.5490534 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957 0.5490534
[113] 0.5490534 0.4772957 0.4772957 0.4772957 0.4859813 0.4859813 0.4772957
[120] 0.4772957 0.4772957 0.5490534 0.5490534 0.4772957 0.4772957 0.5490534
[127] 0.4772957 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957 0.5490534
[134] 0.4859813 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957 0.4772957
[141] 0.4772957 0.4772957 0.4859813 0.5490534 0.4772957 0.5490534 0.5490534
[148] 0.5490534 0.5490534 0.4859813 0.4859813 0.5490534 0.4772957 0.4772957
[155] 0.4772957 0.5490534 0.4772957 0.4772957 0.5490534 0.4772957 0.4772957
[162] 0.4859813 0.4859813 0.4859813 0.4859813 0.4859813 0.4859813 0.4772957
[169] 0.4859813 0.4772957 0.5490534 0.4859813 0.4859813 0.5490534 0.5490534
[176] 0.4772957 0.5490534 0.4772957 0.4772957 0.4859813 0.4772957 0.5490534
[183] 0.4772957 0.4772957 0.5490534 0.4772957 0.4859813 0.5490534 0.4772957
[190] 0.4859813 0.4772957 0.4859813 0.4772957 0.4772957 0.4772957 0.4772957
[197] 0.4772957 0.4772957 0.5490534 0.5490534 0.5490534 0.4772957 0.4772957
[204] 0.4772957 0.5490534 0.4772957 0.5490534 0.4772957 0.4859813 0.5490534
[211] 0.4772957 0.5490534 0.4859813 0.4859813 0.4772957 0.5490534 0.5490534
[218] 0.4772957 0.5490534 0.4772957 0.4772957 0.4772957 0.5490534 0.5490534
[225] 0.4772957 0.4772957 0.5490534 0.5490534 0.4772957 0.4772957 0.4772957
[232] 0.5490534 0.4859813 0.5490534 0.4772957 0.4859813 0.4859813 0.5490534
[239] 0.4772957 0.5490534 0.5490534 0.5490534 0.4772957 0.4859813 0.4772957
[246] 0.4772957 0.5490534 0.4859813 0.5490534 0.4859813 0.5490534 0.4772957
[253] 0.4772957 0.4772957 0.4772957 0.4772957 0.5490534 0.4859813 0.4859813
[260] 0.5490534 0.4859813 0.5490534 0.5490534 0.4772957 0.4859813 0.5490534
[267] 0.4859813 0.5490534 0.4772957 0.4772957 0.4859813 0.4859813 0.4859813
[274] 0.5490534 0.4772957 0.4859813 0.4772957 0.4772957 0.4772957 0.4859813
[281] 0.4772957 0.4859813 0.5490534 0.4859813 0.4859813 0.4772957 0.4859813
[288] 0.5490534 0.4772957 0.5490534 0.4772957 0.4859813 0.4772957 0.5490534
[295] 0.5490534 0.4859813 0.5490534 0.4772957 0.5490534 0.4772957 0.4859813
[302] 0.4772957 0.4859813 0.4772957 0.4772957 0.4772957 0.4772957 0.4772957
[309] 0.4859813 0.5490534 0.5490534 0.4772957 0.4859813 0.5490534 0.4859813
[316] 0.4859813 0.4772957 0.4772957 0.4772957 0.5490534 0.5490534 0.5490534
[323] 0.4859813 0.4859813 0.4772957 0.4772957 0.5490534 0.4772957 0.4772957
[330] 0.4772957 0.4772957 0.5490534 0.5490534 0.4772957 0.5490534 0.4772957
[337] 0.5490534 0.4859813 0.4859813 0.4772957 0.4772957 0.5490534 0.4772957
[344] 0.4772957 0.4772957 0.4772957 0.5490534 0.4772957 0.4859813 0.4772957
[351] 0.4772957 0.5490534 0.5490534 0.4772957 0.5490534 0.4772957 0.5490534
[358] 0.4772957 0.4859813 0.4772957 0.4772957 0.5490534 0.4772957 0.5490534
[365] 0.4772957 0.4772957 0.5490534 0.4772957 0.5490534 0.5490534 0.4772957
[372] 0.5490534 0.5490534 0.4772957 0.4859813 0.4772957 0.4772957 0.5490534
[379] 0.5490534 0.4859813 0.4859813 0.4772957 0.4859813 0.4772957 0.4772957
[386] 0.4772957 0.4772957 0.5490534 0.5490534 0.4772957 0.4772957 0.4772957
[393] 0.4772957 0.4859813 0.5490534 0.4859813 0.5490534 0.5490534 0.4772957
[400] 0.4772957 0.4859813 0.5490534 0.4859813 0.5490534 0.4772957 0.5490534
[407] 0.4772957 0.5490534 0.4859813 0.4772957 0.5490534 0.4859813 0.5490534
[414] 0.4772957 0.4772957 0.5490534 0.5490534 0.4772957 0.4772957 0.4859813
[421] 0.5490534 0.4859813 0.4859813 0.4772957 0.4859813 0.5490534 0.4772957
[428] 0.5490534 0.5490534 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957
[435] 0.4772957 0.4859813 0.4772957 0.5490534 0.4772957 0.4772957 0.4772957
[442] 0.4772957 0.4859813 0.4772957 0.4859813 0.4772957 0.5490534 0.5490534
[449] 0.4772957 0.4859813 0.4772957 0.5490534 0.5490534 0.4772957 0.4772957
[456] 0.4772957 0.5490534 0.4859813 0.5490534 0.4859813 0.4859813 0.4772957
[463] 0.5490534 0.4772957 0.5490534 0.5490534 0.5490534 0.4859813 0.5490534
[470] 0.4772957 0.4859813 0.4772957 0.4772957 0.5490534 0.4772957 0.4772957
[477] 0.4772957 0.4772957 0.4859813 0.4772957 0.4859813 0.4772957 0.5490534
[484] 0.4859813 0.4772957 0.4859813 0.4859813 0.4859813 0.5490534 0.4859813
[491] 0.4772957 0.4859813 0.5490534 0.5490534 0.4859813 0.4772957 0.4772957
[498] 0.5490534 0.4772957 0.4772957 0.4859813 0.4772957 0.5490534 0.5490534
[505] 0.4772957 0.4859813 0.5490534 0.4772957 0.5490534 0.4772957 0.4772957
[512] 0.4772957 0.4859813 0.5490534 0.5490534 0.5490534 0.4859813 0.4772957
[519] 0.4859813 0.4772957 0.5490534 0.4859813 0.5490534 0.4772957 0.4772957
[526] 0.4772957 0.4772957 0.5490534 0.5490534 0.4859813 0.4772957 0.4772957
[533] 0.4772957 0.4772957 0.4859813 0.4772957 0.4859813 0.4772957 0.4772957
[540] 0.4772957 0.4772957 0.5490534 0.4772957 0.4859813 0.4772957 0.4772957
[547] 0.5490534 0.4859813 0.4772957 0.4772957 0.4772957 0.4772957 0.4772957
[554] 0.5490534 0.4772957 0.4859813 0.5490534 0.4772957 0.4859813 0.5490534
[561] 0.4772957 0.5490534 0.4772957 0.5490534 0.4772957 0.4859813 0.4772957
[568] 0.4772957 0.4859813 0.5490534 0.4772957 0.4772957 0.5490534 0.4859813
[575] 0.4772957 0.4772957 0.4772957 0.4859813 0.4859813 0.4772957 0.4859813
[582] 0.4772957 0.4772957 0.5490534 0.4772957 0.4772957 0.5490534 0.5490534
[589] 0.4859813 0.4859813 0.4772957 0.5490534 0.4859813 0.4772957 0.4859813
[596] 0.5490534 0.4772957 0.4772957 0.4772957 0.4772957 0.4772957 0.5490534
[603] 0.4772957 0.4859813 0.4772957 0.4859813 0.5490534 0.5490534 0.4772957
[610] 0.4772957 0.4859813 0.4859813 0.5490534 0.5490534 0.5490534 0.5490534
[617] 0.5490534 0.4772957 0.4859813 0.4772957 0.4859813 0.4772957 0.4772957
[624] 0.5490534 0.4772957 0.4859813 0.4859813 0.4772957 0.4859813 0.4772957
[631] 0.5490534 0.5490534 0.4772957 0.5490534 0.4772957 0.4772957 0.4772957
[638] 0.4859813 0.4772957 0.5490534 0.5490534 0.4772957 0.4772957 0.4772957
[645] 0.4772957 0.4772957 0.4859813 0.4772957 0.4859813 0.4859813 0.5490534
[652] 0.5490534 0.4772957 0.4859813 0.4859813 0.5490534 0.4859813 0.4772957
[659] 0.5490534 0.5490534 0.5490534 0.4772957 0.4772957 0.4772957 0.4859813
[666] 0.4859813 0.5490534 0.4859813 0.4859813 0.5490534 0.5490534 0.4772957
[673] 0.5490534 0.4772957 0.5490534 0.5490534 0.4859813 0.5490534 0.4772957
[680] 0.4772957 0.4772957 0.5490534 0.4772957 0.5490534 0.5490534 0.4772957
[687] 0.5490534 0.5490534 0.4772957 0.4772957 0.4859813 0.5490534 0.4859813
[694] 0.4859813 0.4772957 0.4772957 0.4772957 0.5490534 0.4859813 0.4772957
[701] 0.5490534 0.5490534 0.4772957 0.5490534 0.4772957 0.4772957 0.4772957
[708] 0.4859813 0.5490534 0.4772957 0.4772957 0.5490534 0.4772957 0.5490534
[715] 0.4859813 0.4772957 0.4859813 0.4859813 0.5490534 0.5490534 0.4859813
[722] 0.4859813 0.5490534 0.4772957 0.4772957 0.4772957 0.4772957 0.4772957
[729] 0.5490534 0.4772957 0.4772957 0.4772957 0.4859813 0.4772957 0.5490534
[736] 0.5490534 0.4859813 0.4859813 0.4772957 0.4772957 0.4772957 0.4772957
[743] 0.5490534 0.4772957 0.4772957 0.4772957 0.4772957 0.4859813 0.5490534
[750] 0.4859813 0.5490534 0.5490534 0.5490534 0.5490534 0.5490534 0.4772957
[757] 0.5490534 0.4772957 0.4772957 0.4772957 0.5490534 0.5490534 0.5490534
[764] 0.4772957 0.4859813 0.4859813 0.4859813 0.5490534 0.4772957 0.4772957
[771] 0.5490534 0.4772957 0.5490534 0.4772957 0.5490534 0.4772957 0.4772957
[778] 0.4859813 0.5490534 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957
[785] 0.4772957 0.5490534 0.5490534 0.4859813 0.5490534 0.5490534 0.5490534
[792] 0.4859813 0.4859813 0.4772957 0.4859813 0.5490534 0.5490534 0.5490534
[799] 0.4859813 0.5490534 0.5490534 0.5490534 0.4859813 0.4772957 0.5490534
[806] 0.5490534 0.5490534 0.4772957 0.5490534 0.4772957 0.4772957 0.4772957
[813] 0.4772957 0.4772957 0.4772957 0.4859813 0.5490534 0.5490534 0.4772957
[820] 0.5490534 0.5490534 0.4859813 0.4772957 0.5490534 0.5490534 0.5490534
[827] 0.4772957 0.4772957 0.4772957 0.4772957 0.5490534 0.4772957 0.4772957
[834] 0.5490534 0.4772957 0.4859813 0.4772957 0.5490534 0.5490534 0.5490534
[841] 0.4859813 0.4772957 0.4772957 0.4772957 0.4772957 0.4772957 0.4772957
[848] 0.4859813 0.5490534 0.4859813 0.4772957 0.4772957 0.4772957 0.5490534
[855] 0.4859813 0.4772957 0.4772957 0.5490534 0.5490534 0.4772957 0.4772957
[862] 0.4859813 0.4772957 0.5490534 0.4859813 0.4772957 0.5490534 0.4859813
[869] 0.4772957 0.5490534 0.4859813 0.4859813 0.4772957 0.5490534 0.4772957
[876] 0.4772957 0.5490534 0.5490534 0.4772957 0.4772957 0.4772957 0.4859813
[883] 0.4772957 0.4772957 0.4772957 0.4859813 0.5490534 0.4772957 0.4772957
[890] 0.5490534 0.4772957 0.5490534 0.4772957 0.4859813 0.5490534 0.4859813
[897] 0.5490534 0.4772957 0.4772957 0.4859813 0.4772957 0.5490534 0.5490534
[904] 0.4772957 0.4859813 0.4772957 0.4859813 0.4772957 0.4772957 0.5490534
[911] 0.4772957 0.5490534 0.5490534 0.4859813 0.5490534 0.5490534 0.4772957
[918] 0.5490534 0.4772957 0.4772957 0.4859813 0.4772957 0.5490534 0.5490534
[925] 0.4772957 0.4772957 0.4772957 0.4772957 0.4772957 0.5490534 0.5490534
[932] 0.4772957 0.5490534 0.4772957 0.4772957 0.4859813 0.5490534 0.4859813
[939] 0.4772957 0.4772957 0.4772957 0.4772957 0.5490534 0.4772957 0.4772957
[946] 0.4859813 0.4772957 0.5490534 0.4772957 0.4772957 0.5490534 0.4772957
[953] 0.4772957 0.4772957 0.5490534 0.4772957 0.4772957 0.4859813 0.4772957
[960] 0.4772957 0.4772957 0.5490534 0.4772957 0.4772957 0.5490534 0.4772957
[967] 0.4772957 0.4772957 0.4772957 0.4772957 0.4859813 0.5490534 0.5490534
[974] 0.4772957 0.5490534 0.4772957 0.4772957 0.4772957 0.5490534 0.4772957
[981] 0.4859813 0.4772957 0.4772957 0.4772957 0.4772957 0.4772957 0.5490534
[988] 0.4772957 0.5490534 0.4859813 0.5490534 0.4772957 0.4772957 0.5490534
[995] 0.5490534 0.4772957 0.4772957 0.5490534 0.5490534 0.4772957
$reference
[1] 0.4772957 0.5490534 0.4772957 0.4859813 0.5490534 0.4772957 0.4772957
[8] 0.5490534 0.4859813 0.4859813 0.5490534 0.4772957 0.4859813 0.4859813
[15] 0.4772957 0.4772957 0.4859813 0.4859813 0.4772957 0.4772957 0.4772957
[22] 0.4772957 0.4772957 0.4859813 0.5490534 0.4772957 0.4772957 0.4772957
[29] 0.4859813 0.5490534 0.4772957 0.4772957 0.4859813 0.5490534 0.4772957
[36] 0.4772957 0.4772957 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957
[43] 0.4772957 0.4772957 0.4772957 0.4772957 0.5490534 0.5490534 0.4859813
[50] 0.5490534 0.4772957 0.4772957 0.5490534 0.5490534 0.5490534 0.4772957
[57] 0.5490534 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957 0.5490534
[64] 0.5490534 0.4772957 0.4772957 0.4772957 0.4772957 0.5490534 0.4772957
[71] 0.5490534 0.5490534 0.5490534 0.4859813 0.4859813 0.5490534 0.4772957
[78] 0.4772957 0.4772957 0.4772957 0.4772957 0.4772957 0.4772957 0.4859813
[85] 0.4772957 0.5490534 0.4772957 0.4772957 0.4859813 0.4859813 0.4859813
[92] 0.4772957 0.5490534 0.4772957 0.4772957 0.5490534 0.4772957 0.5490534
[99] 0.4772957 0.4859813 0.4772957 0.4772957 0.5490534 0.4859813 0.4772957
[106] 0.4772957 0.5490534 0.5490534 0.4772957 0.5490534 0.4859813 0.4772957
[113] 0.4772957 0.4772957 0.5490534 0.4772957 0.5490534 0.4772957 0.4859813
[120] 0.4859813 0.4772957 0.4859813 0.4772957 0.4772957 0.4772957 0.4772957
[127] 0.4772957 0.4772957 0.5490534 0.5490534 0.4772957 0.5490534 0.4772957
[134] 0.4859813 0.5490534 0.5490534 0.4772957 0.4772957 0.4772957 0.4772957
[141] 0.4859813 0.4859813 0.5490534 0.4772957 0.4772957 0.5490534 0.4772957
[148] 0.4772957 0.4859813 0.4772957 0.5490534 0.4772957 0.4859813 0.4772957
[155] 0.4859813 0.5490534 0.4859813 0.4859813 0.4772957 0.4859813 0.5490534
[162] 0.4772957 0.4772957 0.5490534 0.4859813 0.4859813 0.5490534 0.4859813
[169] 0.4859813 0.5490534 0.4772957 0.4772957 0.4772957 0.4859813 0.4772957
[176] 0.4772957 0.4772957 0.5490534 0.5490534 0.4772957 0.5490534 0.4772957
[183] 0.5490534 0.5490534 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957
[190] 0.4859813 0.4859813 0.5490534 0.5490534 0.4859813 0.4859813 0.4859813
[197] 0.4772957 0.5490534 0.5490534 0.4772957 0.4772957 0.5490534 0.4772957
[204] 0.4772957 0.4859813 0.4772957 0.4772957 0.4772957 0.4772957 0.5490534
[211] 0.4772957 0.5490534 0.4859813 0.4772957 0.5490534 0.4859813 0.5490534
[218] 0.4772957 0.4772957 0.4859813 0.4772957 0.4859813 0.4772957 0.4772957
[225] 0.4772957 0.5490534 0.5490534 0.4859813 0.4859813 0.4859813 0.4772957
[232] 0.5490534 0.4772957 0.4859813 0.4772957 0.4859813 0.4772957 0.4772957
[239] 0.4859813 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957 0.4772957
[246] 0.5490534 0.5490534 0.4859813 0.5490534 0.4772957 0.4859813 0.5490534
[253] 0.4772957 0.5490534 0.4772957 0.5490534 0.4772957 0.4772957 0.4772957
[260] 0.5490534 0.4859813 0.4772957 0.4772957 0.4772957 0.4772957 0.4772957
[267] 0.5490534 0.4772957 0.4772957 0.4859813 0.5490534 0.4859813 0.5490534
[274] 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957 0.4772957 0.4772957
[281] 0.4859813 0.4859813 0.5490534 0.5490534 0.4772957 0.4772957 0.4859813
[288] 0.4772957 0.5490534 0.4772957 0.4772957 0.5490534 0.4859813 0.4772957
[295] 0.4772957 0.5490534 0.4859813 0.4772957 0.4772957 0.5490534 0.4772957
[302] 0.4772957 0.4772957 0.4772957 0.4772957 0.5490534 0.5490534 0.4772957
[309] 0.4772957 0.5490534 0.5490534 0.5490534 0.4772957 0.4772957 0.5490534
[316] 0.5490534 0.4859813 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957
[323] 0.5490534 0.5490534 0.4772957 0.4859813 0.5490534 0.4772957 0.4772957
[330] 0.5490534 0.4772957 0.5490534 0.4772957 0.4859813 0.5490534 0.4772957
[337] 0.4772957 0.4859813 0.4772957 0.4772957 0.4772957 0.4859813 0.5490534
[344] 0.4772957 0.4772957 0.4772957 0.4772957 0.5490534 0.5490534 0.4772957
[351] 0.4772957 0.5490534 0.4772957 0.4772957 0.4772957 0.4772957 0.5490534
[358] 0.4772957 0.5490534 0.4772957 0.5490534 0.5490534 0.4772957 0.4772957
[365] 0.4772957 0.5490534 0.4859813 0.4859813 0.5490534 0.4772957 0.4859813
[372] 0.4772957 0.4772957 0.5490534 0.4772957 0.4772957 0.4772957 0.4772957
[379] 0.5490534 0.5490534 0.4859813 0.5490534 0.4859813 0.4772957 0.5490534
[386] 0.4772957 0.4772957 0.5490534 0.5490534 0.4772957 0.4772957 0.4772957
[393] 0.4859813 0.4772957 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957
[400] 0.4859813 0.4859813 0.4772957 0.4859813 0.4772957 0.5490534 0.4859813
[407] 0.4859813 0.4772957 0.4859813 0.5490534 0.4859813 0.5490534 0.4772957
[414] 0.4859813 0.4772957 0.5490534 0.4859813 0.5490534 0.4859813 0.4859813
[421] 0.4772957 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957 0.4772957
[428] 0.4859813 0.4772957 0.5490534 0.4859813 0.4772957 0.4772957 0.4772957
[435] 0.4772957 0.5490534 0.4772957 0.4859813 0.4772957 0.5490534 0.5490534
[442] 0.4772957 0.4772957 0.4859813 0.4772957 0.5490534 0.4772957 0.4772957
[449] 0.4859813 0.4772957 0.4859813 0.5490534 0.4859813 0.5490534 0.4772957
[456] 0.4772957 0.4772957 0.4772957 0.4859813 0.4772957 0.5490534 0.4859813
[463] 0.4772957 0.4772957 0.4772957 0.4772957 0.4859813 0.4772957 0.4772957
[470] 0.4772957 0.5490534 0.5490534 0.5490534 0.4772957 0.4859813 0.4772957
[477] 0.4859813 0.4772957 0.5490534 0.4859813 0.4772957 0.4772957 0.4772957
[484] 0.5490534 0.4859813 0.4859813 0.5490534 0.4772957 0.4859813 0.4772957
[491] 0.5490534 0.4772957 0.5490534 0.5490534 0.5490534 0.4772957 0.5490534
[498] 0.4772957 0.4859813 0.4772957
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.