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Extra info for A Technique for Image Data Hiding and Reconstruction without Host Image

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Paste() takes two or more strings as input and glues them together so that they become one single string. The user has control over what character should separate the input strings. By default, the original arguments are separated by a space, > paste("a", "b", "c") [1] "a b c" but we can remove the space by setting the separating character to the empty string: > paste("a", "b", "c", sep = "") When paste() is supplied with vectors of strings, it will glue the elements of these vectors together pairwise: > paste(seq(0, 100, 10), rep("%", 11), sep = "") [1] "0%" "10%" "20%" "30%" "40%" "50%" [7] "60%" "70%" "80%" "90%" "100%" This vector provides sensible labels for the horizontal axis of our plot.

There are more advanced functions for more complex trellis plots, which are available in the lattice package: > library(lattice) Trellis graphics become important when you are dealing with different groups of data points. For instance, the words in the ratings data frame fall into two groups: animals on the one hand, and the produce of plants (fruits, vegetables, nuts) on the other hand. Therefore, the factor Class (with levels animal and plant) can be regarded as a grouping factor for the words.

For animate recipients, the np realization is more likely than the pp realization. Inanimate recipients have a non-trivial preference for the pp realization. e. the complexity of the theme measured in terms of the number of words used to express it, covaries with the animacy of the recipient. Could it be that animate recipients show a preference for more complex themes, compared to inanimate recipients? To assess this possibility, we calculate the mean length of the theme for animate and inanimate recipients.

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A Technique for Image Data Hiding and Reconstruction without Host Image by Chae Manjunath


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